Hire AI Talent in the UAE

Opportunity with TMC & TMC Middle EastWe’re looking for an AI Product Manager to lead the delivery of Generative AI and Agentic AI solutions that drive real business impact across the organization.Own end‑to‑end delivery of GenAI products: conversational agents, AI copilots, and self‑service journeysTranslate business needs into AI features, workflows, and user storiesLead backlog prioritization, sprint planning, UAT, and releases in an agile environmentCollaborate closely with AI Engineers, Data Scientists, Data Engineering, CRM & ERP teamsEnsure seamless integration with enterprise systems (CRM, ERP, internal platforms)Track product KPIs: adoption, response quality, efficiency gains, and business valueDrive user adoption through demos, training, and continuous feedback loops5+ years experience in product management, AI/ML solutions, or digital product deliveryStrong hands‑on understanding of Generative AI, LLMs, and conversational AIProven ability to deliver enterprise AI products and cross‑functional initiativesExperience translating business objectives into measurable outcomes and KPIsSolid stakeholder management and communication skillsExperience with CRM/ERP integrations (e.g., Salesforce)Exposure to enterprise AI platforms, APIs, data pipelines, or ML workflowsKnowledge of tools like Databricks, MLflow, or similar

SummaryThe Chief Technology Officer (CTO) is responsible for defining and executing Finance House Group’s technology vision, driving the transition to a cloud native, API driven, and AI powered banking ecosystem. The role enables digital products, scalable platforms, and data driven decision making, positioning technology as a key driver of growth, efficiency, and customer experience.Key ResponsibilitiesTechnology Strategy & ArchitectureDefine and execute FHG’s enterprise technology strategy aligned with business and product priorities. Establish scalable, secure, and modern architecture leveraging microservices, APIs, and cloud native platforms. Ensure technology capabilities support innovation, agility, and long term growth. AI, Data & Enterprise InnovationDrive the implementation of AI across IT systems, platforms, and processes, embedding intelligence wherever feasible. Enable enterprise-wide AI adoption by building robust technology architecture and infrastructure to support AI solutions teams. Establish scalable data platforms to support AI/ML, analytics, and real time decision making. Define and implement MLOps, data governance, and model lifecycle management frameworks. Partner with business and AI teams to industrialize AI use cases across customer, risk, fraud, and operations. Engineering & Digital PlatformsOversee development and evolution of digital platforms (mobile, web, lending, payments). Implement Agile, DevOps, and CI/CD practices to improve speed, quality, and reliability of delivery. Ensure systems are resilient, high performing, and scalable. Core Systems & Cloud TransformationLead modernization of legacy systems using modular, API led approaches. Drive adoption of hybrid/multi cloud infrastructure and platform engineering practices. Optimize technology stack for performance, scalability, and cost efficiency. Cybersecurity & ComplianceEstablish and enforce enterprise cybersecurity frameworks, including Zero Trust and data protection. Ensure compliance with UAE regulatory requirements and international standards. Strengthen resilience, risk management, and incident response capabilities. Ecosystem & Open BankingBuild API platforms to enable fintech partnerships and embedded finance capabilities. Support platform based models, including Banking as a Service (BaaS). Leadership & GovernanceLead and develop high performing technology, engineering, and data teams. Manage budgets, vendor ecosystem, and technology investments. Establish governance across architecture, delivery, security, and data. Strategic Technology PrioritiesEstablish a cloud native, API first technology foundation. Build enterprise data platforms enabling real time insights and decision-making. Scale AI adoption across the organization through strong IT architecture and infrastructure enablement. Enable intelligent automation and AI driven productivity tools. Advance digital platforms with embedded personalization and real-time decisioning. Expand ecosystem integrations and open banking capabilities. Strengthen cybersecurity, data protection, and regulatory alignment. Explore and implement emerging technologies such as blockchain, embedded finance, and digital identity. RequirementsProven experience in a CTO or senior technology leadership role. Strong expertise in enterprise architecture, cloud, AI/ML, and digital platforms. Experience in banking or financial services transformation. Strong business and strategic acumen with the ability to align technology with growth objectives. Excellent leadership and stakeholder management skills. Qualifications & ExperienceBachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred. 15+ years of experience, including 8+ years in senior leadership roles.

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.About The Role:This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.Perform statistical analysis and data exploration to extract meaningful insights from complex datasetsSupport the development and validation of predictive models to identify trends and patternsContribute to the development of AI/ML models and data-driven solutionsConduct exploratory data analysis to support decision-making and operational planningAssist in building and maintaining data pipelines for data collection, processing, and integrationCollaborate with data scientists, engineers, and cross-functional teams to improve data workflowsDevelop scripts and tools to automate repetitive tasks and improve efficiencySupport initiatives to enhance data quality, structure, and accessibilityApply basic experimental and analytical approaches to test ideas and evaluate outcomesContribute to improving data systems, workflows, and analytical capabilitiesAssist in identifying data gaps, inconsistencies, and opportunities for optimizationParticipate in team meetings, project discussions, and knowledge-sharing sessionsEducationBachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.Required SkillsProficiency in Python, R, SQL, or similar programming languages.Experience with data visualization platforms such as Power BI or Tableau.Strong understanding of statistical techniques and modeling approaches.Foundational knowledge of AI/ML concepts and applications.Experience working with relational and/or NoSQL databases.Familiarity with cloud-based big data technologies.Ability to explain complex technical findings to non-technical audiences.Understanding of intelligence analysis processes and mission requirements.Experience working with structured and unstructured datasets in complex environments.ExperienceMinimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields.Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Remote (Work from Anywhere)Job Type: Contract / FreelanceJob OverviewWe are looking for Image Reinforcement Learning (RL) Experts to work on a cutting-edge AI project focused on improving image-based machine learning systems. The role involves designing tasks, datasets, and evaluation frameworks to enhance AI model reasoning and performance in image-related applications.This is a remote, project-based opportunity ideal for professionals with strong experience in computer vision, reinforcement learning, and AI model evaluation.Key ResponsibilitiesDevelop and implement reinforcement learning approaches for image-based tasksDesign training datasets and evaluation benchmarks for image AI modelsAnalyze and improve model performance in image recognition and visual reasoningWork with machine learning pipelines for image classification, detection, and segmentationCollaborate with AI researchers to improve model accuracy and decision-makingCreate clear documentation of workflows, datasets, and evaluation methodsRequired QualificationsBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fieldStrong experience with Reinforcement Learning (RL)Hands-on experience with Computer Vision / Image ProcessingExperience With Python And ML Frameworks Such AsPyTorchTensorFlowOpenCVKnowledge of deep learning models for image analysis

Job DescriptionThe College of Information Technology (CIT) is looking to hire a faculty member in Computer Science with a focus on Data Science and AI to build on the strength of its current research programs to create new multidisciplinary research initiatives and partnerships, across and beyond the university campus, critical to its long-term stability and growth. About the Position: We seek faculty candidates with strong research records in all areas of Artificial Intelligence and Data Science, with a special emphasis on the theoretical foundations and applications of Data Sciences and AI/ML/Computer Vision in a wide range of fields including Smart Health Systems, Health Informatics, Cloud Computing, Robotics, Business Intelligence, Agriculture, and Decision Support Systems. Successful candidates are expected to complement and enhance current research at the College and contribute to the teaching of both undergraduate and graduate courses across programs. Candidate Qualifications: Candidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs. Faculty rank is commensurate with qualifications and experience. The positions will remain open until filled and only short-listed candidates will be contacted. The UAEU and CIT are committed to fostering a diverse, inclusive, and equitable environment and culture for students, staff, and faculty. Application Instructions: Applications must be submitted online at https://jobs.uaeu.ac.ae/ A completed application must include: A cover letter reflecting on your interest and alignment with CIT’s mission; An up-to-date curriculum vitae; A research statement, describing current and future research; A teaching statement, describing teaching philosophy; and The names and contact information for at least three recommenders. About the UAEU: The United Arab Emirates University (UAEU), ranked 229 in global QS ranking, is the first academic institution in the United Arab Emirates. Founded by the late Sheikh Zayed bin Sultan Al Nahyan in 1976, UAEU is committed to innovation and excellence in research and education. As the country’s flagship university, UAEU aims to create and disseminate fundamental knowledge through cutting-edge research in areas of strategic significance to the nation and the region, promote the spirit of discovery and entrepreneurship, and educate indigenous leaders of the highest caliber.Minimum QualificationCandidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs.Preferred QualificationEstablished record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Excellence in teachingClose Date Kindly apply before the closing date.31/07/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

Our client is an enterprise AI company headquartered in Dubai, UAE. We build and deploy AI-native products across social intelligence, agentic AI platforms, voice AI, cyber deception and computer vision - serving government, enterprise and telcos clients across the UAE and GCC.We are looking for a hands-on Full Stack AI Developer to join our engineering team. You will be responsible for building production-grade AI-powered features across our product suite - from backend model integrations and APIs to clean, functional front-end interfaces. The ideal candidate has 2-3 years of real-world experience building applications that incorporate AI/ML models, LLMs, or agentic workflows and is comfortable working across the full stack.AI / ML Integration Related:Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, open-source) into production applications via APIs and SDKsBuild and maintain agentic workflows, multi-step reasoning pipelines and tool-calling patternsConnect AI models to structured/unstructured data sources, vector databases and retrieval pipelines (RAG & GRAG)Implement prompt engineering, chaining and context management for reliable AI outputsBackend Development Related:Design and build RESTful and event-driven APIs using Python (FastAPI / Django) or Node.jsWork with relational and non-relational databases (PostgreSQL, MongoDB, Redis) along with ElasticsearchBuild data ingestion pipelines and integrate third-party data APIs (social, news, enterprise systems)Deploy and maintain containerized services on cloud infrastructure (Azure preferred)Frontend Development RelatedDevelop responsive, functional UI components using the likes of React.js or Vue.jsConsume and display real-time or streaming AI outputs in clean, user-ready interfacesCollaborate with product on UX flows for AI-assisted features (dashboards, chat UIs, agent interfaces)Collaboration & Quality Related Work closely with the engineering team and product leads to translate requirements into technical specificationsWrite clean, documented, and testable code; participate in code reviewsIdentify performance bottlenecks and propose practical solutionsSupport QA and UAT cycles for client-facing deploymentsRequirementsAI / LLMHands-on experience with OpenAI / Azure OpenAI API, LangChain, or similar frameworksFamiliarity with RAG patterns, vector stores (Pinecone, Weaviate, pgvector), and embeddingsUnderstanding of prompt engineering, function/tool calling, and agentic orchestrationBackendNode.js & Express with REST API development, and/ or Python (FastAPI or Django)SQL and NoSQL databases; basic query optimisationExperience with Docker and cloud deployment (Azure, AWS, or GCP)Familiarity with message queues or event streaming (e.g., Kafka, RabbitMQ) is a plusFrontendReact.js or Vue.js with component-based architectureWorking knowledge of HTML5, CSS3, and JavaScript/TypeScriptAbility to build clean data visualisation interfaces (charts, dashboards)GeneralGit-based version control and CI/CD workflowsStrong problem-solving skills and ability to work in a fast-paced, delivery-focused environmentGood written and verbal communication in EnglishBachelor's degree in Computer Science, Software Engineering, or equivalent practical experienceNICE TO HAVEExperience with Microsoft Azure AI Foundry, Azure AI Search, or Azure Bot FrameworkExposure to computer vision APIs or model inference pipelinesPrior work on social media data ingestion, sentiment analysis, or NLP pipelinesExperience building voice AI integrations (STT/TTS, telephony APIs)Contributions to open-source AI/ML projectsFamiliarity with GCC enterprise environments or government IT constraintsBenefitsWHAT WE OFFER:Competitive salary benchmarked to marketDirect exposure to cutting-edge enterprise AI projects across UAE and GCCFlat team structure - work directly with founders and senior engineersOpportunity to grow into a Senior or Lead Engineer roleFlexible remote/hybrid work arrangementsFast-paced environment where your work ships to production and reaches real clients

Job Title: Data ScientistJob Type: ContractorLocation: RemoteJob SummaryJoin our customer team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking.Key ResponsibilitiesCollect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.Develop, validate, and implement statistical models to extract actionable insights from complex data.Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.Continuously improve analytical methodologies and automation processes to enhance data workflows.Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.Required Skills And QualificationsExpertise in statistics, mathematics, and data analysis techniques.Proven experience in collecting, handling, and cleaning large, complex data sets.Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.Strong data modeling skills with experience in building and validating predictive models.Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.Meticulous attention to detail and commitment to data quality at every stage.Excellent written and verbal communication skills, with an emphasis on clarity and precision.Preferred QualificationsExperience working in a remote, cross-functional, or customer-focused team environment.Background in developing and deploying machine learning solutions in production settings.

Job Purpose: A skilled and experienced Machine Learning Engineer to join our innovative team. The ideal candidate will have strong expertise in research and development (R&D), as well as the practical implementation of robust AI models.The role requires a deep understanding of machine learning (ML), deep learning (DL), Generative AI models, including Large Language Models (LLMs), natural language processing (NLP), and speech analysis and recognition. The candidate should also have strong Python and Java programming skills, scripting experience, proficiency in ML frameworks and tools, microservices, Docker containers, automated ML pipelines, and basic DevOps practices.Job Responsibilities: R&D Experimentation: Conduct cutting-edge research on ML, DL, Generative AI models, NLP, and speech recognition technologies to drive innovation and improve our AI solutions.Model Development: crawl data from various datasources, develop pipelines, build models, train, and optimize robust AI models using state-of-the-art techniques in NLP, speech analysis, and recognition.AI Service Packaging: Package AI models as services, ensuring they are ready for deployment in production environments.Deployment: Deploy AI services using microservices architecture and Docker containers for scalable and reliable operation.Automated Pipelines: Design and implement automated machine learning pipelines for model training, testing, and inference.Scalable Deployments: Develop and manage scalable deployments and distributed training processes to handle large-scale data and models.Performance Monitoring: Continuously monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency.Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver high-quality AI solutions.Technical Skills:Deep understanding of ML, DL, Generative AI models, NLP, and speech analysis and recognition.Proficiency in Python and Java programming and strong coding skills.Experience with microservices architecture and Docker containers.Expertise in automated ML pipelines for training, testing, and inference.Knowledge of scalable deployments and distributed training techniques.Familiarity with Ubuntu server commands and basic DevOps skills.Preferred Educational Qualifications and Professional CertificationsBachelor’s degree in Artificial Intelligence, Computer Science, or a relevant field.ExperienceUAE National fresh graduates are encouraged to apply. 1–2 years of experience in AI/ML is required. Proven experience in machine learning engineering, with a focus on R&D and production-level deployment. Extensive hands-on experience with ML frameworks and tools such as TensorFlow, PyTorch, etc.

About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You WillInnovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.You Might Thrive In This Role If YouHold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOWhy Join UsShip quickly, iterate constantly and see your work deployed at global scaleCollaborate with industry veterans from Tesla, DeepMind, Databricks, and moreAccelerate your career with ownership based on impact, not tenureEarn competitive compensation + meaningful equity in a high-growth companyThrive in a culture built on speed, curiosity, and impactIf you want to see your work deployed at scale with real impact, Brain Co. is the place to build.This is a hybrid role that can be based in either our Abu Dhabi or Doha office

Job Title: Customer Experience Cloud & AI SMELocation: Remote / UAE / PortugalCompany: KompetenzaDepartment: AI & Service Cloud DevelopmentReports To: director R&DAbout KompetenzaKompetenza is a Salesforce partner with a Center of Excellence in Portugal. We specialize in Salesforce FlexTeam solutions, Corporate Services Cloud, and Employer of Record (EOR) services. Our mission is to help organizations transform customer experiences through intelligent self-service portals, AI automation, and digital engagement.Role OverviewWe are looking for a Customer Experience Cloud & AI SME to lead the design, development, and optimization of self-service customer portals while integrating AI-driven automation across both Salesforce and external ecosystems.This role requires expertise in Salesforce Experience Cloud and a strong understanding of AI-driven automation to create seamless self-service solutions, AI-powered agents, and intelligent workflows that enhance customer engagement. The ideal candidate will work closely with clients, internal teams, and stakeholders to drive automation, improve user experience, and mentor organizations on AI adoption.Key Responsibilities Develop & Optimize Self-Service Customer Portals Design, configure, and enhance customer self-service portals using Salesforce Experience CloudImplement self-service automation and AI-driven workflows to improve customer interactionsEnsure portals are intuitive, scalable, and personalized with guided service journeysIntegrate Einstein AI and automation tools for proactive customer support and case resolution AI-Powered Virtual Agents & AutomationDevelop and optimize AI-driven virtual agents within Salesforce and external platformsUtilize Einstein AI, NLP, and machine learning to enhance case deflection and automate customer supportImplement Conversational AI chatbots integrated with Live Chat, WhatsApp, and external messaging platformsEnsure AI agents learn from interactions to continuously improve customer responses Cross-Platform AI Automation & IntegrationWork with Salesforce Flow, Omni-Channel Routing, and Process Automation to optimize service operationsIntegrate self-service portals with third-party AI tools, RPA solutions, and external APIsImplement AI-powered predictive analytics to personalize customer experiences Customer Engagement & AI MentorshipAct as an AI & Experience Cloud SME, guiding clients through their AI and automation journey Work directly with customers to understand their challenges and tailor AI/self-service solutionsProvide training and mentorship to businesses on how to adopt and maximize AI-driven self-service portalsGather feedback from end-users to enhance AI models, workflows, and self-service functionalities Data Intelligence & AI Performance OptimizationUse Salesforce Data Cloud and AI analytics to drive data-backed automation improvementsContinuously monitor AI agent performance and customer engagement metrics to optimize processesEnsure compliance with data security, privacy, and ethical AI practices AI & Innovation StrategyStay ahead of emerging AI and Experience Cloud trends, ensuring cutting-edge solutionsWork with internal teams to align AI automation with business and customer service objectivesEvaluate and integrate new AI and automation tools to enhance customer experienceKey RequirementsTechnical Skills 2+ years of experience in Salesforce Experience Cloud & Service Cloud (or equivalent self-service portal expertise)Hands-on knowledge of Einstein AI, NLP, chatbot development, and automation workflowsExperience with Salesforce Flow, Omni-Channel Routing, and case automationFamiliarity with third-party AI, automation, and chatbot platforms outside SalesforceKnowledge of API integrations, RPA, and machine learning-driven automationSoft Skills & Experience Passionate about customer experience, AI, and digital transformation Comfortable working directly with clients, understanding their self-service & AI needs Strong problem-solving and analytical skills to build impactful automation solutions Excellent communication & presentation skills, able to mentor and train customers Ability to learn quickly and stay updated on the latest AI and self-service technologiesWhy Join Kompetenza R&D Work on cutting-edge AI & self-service portalBenefitsWhy Join Kompetenza?✅ Build a lead generation machine from the ground up - an exciting opportunity to create a scalable system.✅ Work with cutting-edge AI and automation tools to optimize sales outreach.✅ High earning potential - competitive salary with performance-based commission.✅ Remote work flexibility with a global team.

About Deloitte: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.Our PurposeDeloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.Our shared values guide the way we behave to make a positive, enduring impact:During your tenure as a Business Analyst, you will demonstrate and develop your capabilities in the following areas:Team with others to produce high quality deliverables to ensure superior client experienceCollect, assimilate, and analyze relevant data and use standard processes and tools to help surface and support solutionsUnderstand basic financial concepts and able to research and find financial and business performance informationConduct in depth research and benchmarking analysis to provide clients and team with insights on best practices and bring forward potential solutionsApply structured thinking and frameworks to organize concepts, identify gaps, and communicate ideas clearly to team members Find and leverage a diverse set of resources that can provide team with insights and potential solutions and share findings with othersPresent an approachable and professional style while engaging and communicating with others in an effort to build lasting relationships across clients and teamsValue and consider the diverse perspectives and backgrounds of colleagues and clientsApply technology fundamentals to client situations and demonstrate basic understanding of new and emerging technologies such as Robotic Process Automation (“RPA”), Artificial Intelligence (“AI”), IoT, Blockchain and cloudUnderstand how a business operates and support in the development and/ or improvement of business processesLeadership CapabilitiesBuild own understanding of our purpose and values while exploring opportunities for impactDemonstrate strong commitment to personal learning and development; act as a brand ambassador to help attract top talentUnderstand expectations and demonstrate personal accountability for keeping performance on trackDemonstrate ability to own work and deliverables efficiently with minimum supervisionActively focus on developing effective communication and relationship-building skills internally and with clients Seek ways to provide informal coaching and guidance to peers and share knowledge and skills with wider audiencesRequired majorsIndustrial engineering, Electronics engineering, Economics, Systems Engineering , Computer engineering, Software engineering, Computer Science, Management Information Systems, IT, Finance, Business Administration, Data, Analytics, Machine Learning, Business Administration, Information Systems, Business Management, Artificial Intelligence, Strategic Management, Business Strategy, Motion or Graphic Design, HR, Management, Administration, Industrial Engineering, Marketing and System Engineering, Finance, Accounting, Mechanical Engineering, Financial Engineering, Language & translation and MathQualifications And Technical CapabilitiesBased in the UAE – UAE NationalUndergraduate degreeMBA or a relevant master’s degree or certificate is a plusFluency in written and spoken English, Arabic is a plusExcellent knowledge in MS office applications especially in PowerPoint, Word and ExcelExcellent communication and people skills, with a strong emphasis on team workingAbility to operate and understand excellent project and program management disciplines including production of project plans and key quality program deliverablesStrong administrative and numeracy skills and ability to analyze complex data with good attention to detailsAbility to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hoursWillingness to travel (required)

An Exhilarating OpportunityAre You Ready for a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and Setting the Gold Standard across the Industry. Join the FIVE Tribe - and Get Ready to Make Waves. The Candidate A Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A ‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter. Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Digital Marketing Team as a Data Scientist / AI Engineer Intern will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights!What We’re Looking For Currently pursuing or recently completed a Master’s Degree (or final year of a Bachelor’s) in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a related field. Availability for a 6-month Internship, ideally as part of an End-of-Studies Academic Requirement. Demonstrated hands-on experience through Internships, Research, or Personal Projects involving Data or AI Systems. Strong proficiency in Python, PySpark and SQL, supported by a solid understanding of Data Engineering, Statistics and Analytical Concepts. Foundational knowledge of Machine Learning techniques including Classification, Regression and Model Evaluation. Familiarity with AI/LLM Systems, including API integrations, workflows and performance monitoring. Basic exposure to Cloud Environments (AWS preferred), including storage (S3) and compute services. Understanding of Data Pipelines, APIs and Data Ingestion processes. Strong Analytical and Problem-Solving Skills with attention to Data Accuracy and Validation. Excellent Communication Skills, with the ability to translate Technical Concepts into Business Insights. Highly Organised with the ability to Manage Priorities in a Dynamic Environment. A proactive, ‘Can-Do!’ attitude with a passion for Building Real-World AI Solutions. Key Responsibilities Design, Build and Deploy AI and Data-Driven Solutions with Direct Business Impact across Marketing, Revenue and Guest Experience. Develop Conversational AI Agents, including Web-Based and WhatsApp Solutions, to automate Guest Interactions such as Restaurant Reservations. Engineer Marketing Intelligence Systems that analyse complex advertising data (Meta, TikTok, Google) to generate High-Impact Recommendations. Support Hotel Revenue Optimisation by modelling Demand, Occupancy Trends and Real-Time Market Data. Build and Enhance Machine Learning Recommendation Engines to deliver Personalised Guest Experiences and Offers. Own a Core Project End-to-End, from Problem Structuring and Technical Design to Deployment and Iteration. Collaborate with cross-functional Teams to understand Business Needs and translate them into Scalable Data Solutions. Ensure Data Accuracy, Model Performance and Reliability through Testing, Monitoring and Continuous Improvement. Contribute to the Development of Data Pipelines, APIs and Scalable Infrastructure. Present Insights and Technical Outputs in a Clear, Structured and Business-Relevant manner to Stakeholders. The Team ‘FIVERs’ are Cultured yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe Member, you'll Personify the distinct ‘Vibe at FIVE’ and apply it to create Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded Individuals who share your Passion for Delivering Unforgettable Moments that last a Lifetime – then Look No Further and Unleash your Next-Level Potential. Sustainable Indulgence at FIVE FIVE is a leader in Sustainable Luxury Living and Hospitality, with its UAE-based Destinations being the first and only Hotels in the UAE to obtain the International Renewable Energy Certificates (I-REC) for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled ‘Sustainable Indulgence’ Ethos has led to a completely LEED Platinum-certified operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's BD+C and ID+C rating system, making it one of just five hotels worldwide to receive Platinum Certification. FIVE illustrates its Commitment to making ‘Sustainability without Compromise on Luxury Living’ central to its Future Vision, with FIVE LUXE already on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE’s Comprehensive and Committed Scope of Sustainability Strategy permeating Operations, Governance and Community. An Equal Opportunity Employer The FIVE Tribe represents over 70 nationalities across its over 1500 ‘FIVERs.’ FIVE is Committed to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer. Accordingly, FIVE does not discriminate based on disability, race, age, sex, gender, sexual orientation, ethnicity, religion or belief, nationality, marital status, or any other basis protected under national or local laws. Ranked 10th on the Great Workplaces in the UAE 2023 list of Large Organisations, the FIVE Tribe is more than a group of people working together – it is a Family bonded by common Values and Goals, Celebrating People, Culture and Diversity. About FIVE Hotels and Resorts FIVE Hotels and Resorts prides itself on being Disruptively Different and Daringly Unique. Our Growing Portfolio of Lavish Destinations are the epitome of Glamour and Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe means you are part of a team who Breaks Boundaries and offers Unbeatable Next-Level Experiences at FIVE’s award-winning Hotels, Dining Concepts, and 360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe, you will be part of a group of High Achievers who Fearlessly Challenge Conventions on a Global Stage. Find out more here: fivehotelsandresorts.com

Job Title: Data ScientistJob Type: ContractorLocation: RemoteJob SummaryJoin our customer team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking.Key ResponsibilitiesCollect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.Develop, validate, and implement statistical models to extract actionable insights from complex data.Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.Continuously improve analytical methodologies and automation processes to enhance data workflows.Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.Required Skills And QualificationsExpertise in statistics, mathematics, and data analysis techniques.Proven experience in collecting, handling, and cleaning large, complex data sets.Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.Strong data modeling skills with experience in building and validating predictive models.Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.Meticulous attention to detail and commitment to data quality at every stage.Excellent written and verbal communication skills, with an emphasis on clarity and precision.Preferred QualificationsExperience working in a remote, cross-functional, or customer-focused team environment.Background in developing and deploying machine learning solutions in production settings.

About Market SecuritiesMarket Securities is a fast-growing, multi-office financial brokerage regulated by the DFSA, with offices across Dubai, London, Paris, Geneva, Madrid, New York and Hong Kong. We are expanding our AI capabilities and looking for a hands-on profile to help us move fast.The RoleAs an AI Solutions Analyst, you will be the bridge between our business teams and our technology department. You will go directly to the floor — brokers, middle office, compliance, operations — identify pain points and inefficiencies, and turn them into working AI-powered prototypes using no-code and low-code tools. You will then hand off these prototypes to our development team for full integration into our systems.This is not a theoretical role. We want someone who builds.What You Will DoEngage directly with business teams across the firm to understand their workflows and identify high-impact AI use casesDesign and assemble AI-powered prototypes using tools such as Claude, Cursor, Make, Zapier or equivalent no-code/low-code platformsDocument requirements clearly and hand off validated prototypes to the development team for integrationStay current on AI tools and identify new opportunities to automate and improve business processesContribute to the firm's broader AI roadmap under the direction of the Head of TechnologyWhat We Are Looking ForHands-on experience building with AI tools - Claude Code, Cursor, Make, Zapier, ChatGPT or equivalent. We want to see what you have built.Foundational AI/ML knowledge: understanding of supervised and unsupervised learning, large language models (LLMs) and AI agentic workflowsUnderstanding of the AI project lifecycle (ASDLC): ability to initiate, scope, design and deploy AI projects from end to endEssential SQL and Python skills - able to query data and support prototype development independentlyStrong ability to translate business needs into practical solutions - comfortable talking to a broker and a developer on the same dayKnowledge of capital markets and trade lifecycle is a strong advantageCurious, autonomous, and delivery-focused - you move fast and take ownership

DescriptionMohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.The Department of Machine Learning is expanding and we invite candidates at all levels (Assistant, Associate and Full Professor) to apply.The Department of Machine Learning undertakes rigorous, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization, collaborative learning, representation learning, theoretical machine learning, and causality.About MBZUAI – A Global Leader in AI Research and EducationMBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2020, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutionsFunding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.Exceptional Benefits:Comprehensive health & life insuranceRelocation support for international facultyState-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computingLive in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenitiesIndustry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakersQualificationsThis position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.Application InstructionsTo Apply For This Position, Please Submit The FollowingCover letterCurriculum VitaeStatement of research vision and interestsStatement of teaching philosophy and experienceList of publicationsReference letters or the names and contact details for three referees (where referee details are provided, each referee will be contact to upload their reference letters via Interfolio)MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.Be a part of AI’s future – apply today at MBZUAI!#MBZUAI #careeropportunities #AIEqual Employment Opportunity StatementMohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

Competitive SalaryCharterhouse is currently working with a leading global private capital investor that is undergoing a major step-change in its use of AI and automation. With offices across the UK, USA, UAE and other global hubs, the firm runs a high performance, investment led environment and is now ready to bring its AI capability fully in house.As part of this transformation, we are exclusively supporting the appointment of a Head of AI & Automation. This will be the firm’s first dedicated AI hire (Individual Contributor) and a pivotal role in shaping how the organisation will operate in the years ahead.The Head of AI & Automation is a practical, high‑impact role that will take charge of the firm’s AI, automation and data efforts. The focus isn’t on building complex machine‑learning systems from scratch, but on choosing the right tools, setting them up properly and making sure they’re used effectively across the business. The four points of focus for this individual will be AI Implementation & tooling, training, Adoption & Change Management, Workflow Automation & Integration & Governance & Vendor Management.The Head of AI & Automation will step into a setup that already has a clear technical foundation, working prototypes and a prioritised roadmap created with an external consultancy. The role is to turn these into real, everyday solutions which includes driving delivery, training teams, managing vendors and helping the wider organisation adopt new ways of working.The position will be reporting directly to the CEO/COO and working closely with IT, investment teams, portfolio operations and external partners, this position plays a central role in how the firm evolves its operations. Our client is seeking a commercially minded AI practitioner with following qualifications:Deep fluency across modern AI tools, LLMs, RAG/search, and automation platforms.Experience leading AI adoption and change management in complex environments (preferably PE, financial services or professional services).Strong understanding of cloud environments (Azure preferred), data architecture and secure enterprise tooling.Proven ability to translate business needs into practical, high value AI workflows.Excellent communication skills with the ability to coach senior stakeholders and high performing teams.Strong judgment around governance, risk, confidentiality and responsible AI deployment.A hands-on, high-output working style suited to a fast-paced global organisation.Excellent communication skills in English is essential.

We are currently looking to hire an experienced and talented Chief AI Solution Architect to join a global industry-leading Digital Business Consulting firm, based in their Dubai office, to lead pursuits and delivery of cutting-edge digital projects for their clients across the UAE, Saudi Arabia and wider Middle East region.RESPONSIBILITIESAI Architecture Authority and Delivery LeadershipDefine end-to-end AI solution architectures spanning data platforms, AI/ML pipelines, GenAI stacks, application integration, cloud infrastructure, security, and MLOpsAct as design authority for complex, multi-vendor AI programs, ensuring architectural coherence from use-case design through build, deployment, and scaleLead delivery of AI solutions, directing internal teams and partners, ensuring solutions meet performance, scalability, security, and responsible AI requirementsTranslate business and functional requirements into actionable AI solution designsOriginate and shape AI-led opportunities across priority industriesLead AI solutioning for proposals, bids, and pursuitsAct as a trusted advisor to client executives on AI strategy, investment prioritisation, and value realisation, linking AI use cases to measurable business outcomesContribute towards the firm's AI solution architecture capabilityREQUIRED EXPERIENCE10+ years of total experience, across AI, data, solution architecture, and technology leadership rolesDemonstrated track record leading large-scale AI or data-driven transformation programs in consulting or complex enterprise environmentsProven experience owning AI solutioning for client pursuits and translating AI capabilities into commercial impactBachelor's degree required; master's degree or PhD in a relevant field strongly preferredCloud, AI, or data architecture certifications are highly desirablePrior consulting, multi-client delivery, and ecosystem partner management experience is a strong advantageDeep expertise in enterprise AI solution architecture, including data platforms, ML engineering, GenAI/LLM architectures, application integration, cloud, security, and MLOpsProven ability to design and deliver AI solutions that move from experimentation to production at scaleExperience with modern AI stacks and platforms (e.g., cloud AI services, open-source ML frameworks, vector databases, orchestration and monitoring tools)Executive-level communication and influencing skills, with the ability to bridge business strategy and advanced AI engineeringProfessional-level English communication skills are essentialIf you are an experienced and driven AI Solution Architect with high-level leadership and mature market Consulting experience we'd like to hear from you!

Fitch Learning is a leader in financial services training. With unrivaled breadth and depth, the company delivers learning solutions for apprentices, graduates, and those with 10+ years’ experience in Financial Services. Our offerings include expert faculty, e-learning, coaching, and blended assessments, improving individual and collective business performance.Working at Fitch Learning provides the opportunity to be part of a global leader in financial education, committed to delivering cutting-edge training solutions. You'll collaborate with a team of experts dedicated to empowering professionals with the skills and knowledge needed to excel in the finance industry. By joining us, you'll be at the forefront of innovation in professional education, contributing to impactful learning experiences that drive career advancement and industry success.Fitch Learning is currently seeking an Associate Director, Data Science Trainer based out of our Dubai, UAE office.About The TeamYou will join our Data Science Training faculty, a globally collaborative team that designs and delivers technical learning programs focused on data science, analytics, and applied quantitative skills for banks, financial institutions, corporates, regulators, and multilaterals. The team operates across in-house, virtual, and public courses, with high visibility across client engagements and a strong focus on practical, market-relevant learning solutions.How You’ll Make An Impact Design and deliver high-quality training programs in data science, analytics, and related technical subject areas for corporate and professional learners. Create engaging learning materials, including presentations, practical exercises, case studies, assessments, and supporting resources. Deliver training across multiple formats, including virtual, in-person, and blended learning environments. Translate complex technical concepts into clear, practical, and accessible learning experiences for varied audiences. Contribute to the development and enhancement of Fitch Learning’s data science curriculum and broader technical training portfolio. Partner with internal stakeholders, including product, sales, and client-facing teams, to support tailored learning solutions for clients. Stay current on trends and developments in data science, analytics, machine learning, and learning design to ensure content remains relevant and market aligned. Use learner and client feedback to continuously improve training quality, learner engagement, and program outcomes. Support business development efforts, where appropriate, by contributing subject matter expertise to proposals, pitches, and client discussions. You May Be a Good Fit If You have strong subject matter expertise in data science, analytics, statistics, machine learning, or a related field. You have experience designing and delivering training, teaching, facilitation, or professional learning programs in technical subject areas. You are confident presenting to a range of audiences and can explain complex concepts in a clear, engaging, and practical way. You have hands-on experience with relevant tools, programming languages, or data visualization platforms. You are skilled at developing high-quality learning content that is both technically robust and learner-focused. You are commercially aware and able to align learning solutions with client and market needs. You are collaborative, adaptable, and comfortable working across teams in a fast-paced environment. You have excellent written and verbal communication skills, with strong attention to detail and quality. What Would Make You Stand Out Experience delivering training within financial services, banking, capital markets, or other highly regulated industries. Familiarity with applying data science concepts to commercial, credit, risk, or financial use cases. Experience developing customized training solutions for corporate clients. Knowledge of learning design best practices across digital, blended, and instructor-led formats. A desire to innovate by bringing fresh ideas to course design, delivery, and assessment. An advanced degree in Data Science, Statistics, Mathematics, Computer Science, Finance, Economics, or a related discipline. Why Choose Fitch Flexible Work Environment: Trainers are expected to attend the office on a regular basis when not fulfilling training commitments. A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity. Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals. Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing. Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively. Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe. Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community. At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.For More Information, Please Visit Our Websiteswww.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com

🚀Associate Director of Product 🏥 Healthcare Intelligent Solutions📍 Based in Abu Dhabi ( Relocation Provided!) 💰 AED 48,000 - 50,000 + Benefits Imagine sitting at the intersection of AI and healthcare - shaping products that reach real patients in the UAE. That's exactly what this role is.Reporting to the Director of Product, this AD of Product will collaborate with product managers, engineering, and analytics teams to deliver innovative data-driven solutions that care smarter, faster, and more human. You'll translate data into strategy, ambiguity into roadmaps, and ideas into measurable impact.Role ResponsibilitiesCo-own the AI product roadmap, from vision to launchChampion AI and ML, including NLP and computer vision, across product solutionsDefine the KPIs and ROI metrics that prove AI is actually workingStay ahead of emerging AI technologies and bring bold new ideas to the tableWhat do you needMaster’s degree or equivalent in Healthcare Management, Computer Science, AI, or related field.8+ years of product management experience with exposure to AI or data- driven solutions in healthcare.Experience working with clinical teams or understanding healthcare workflows.This is an opportunity to work on products that touch millions of lives across the UAE!If this aligns with your experience and interest, please apply. Only relevant candidates will be contacted.

Head of AI Digital Innovation & AI Transformation Abu Dhabi, UAE (On-site)Permanent position We are looking for a Head of AI to play a critical role in an end‑to‑end digital and AI transformation and scaling AI at enterprise level for a well-known organization in Abu Dhabi.Expectations:13 years+ experienceDigital & AI Strategy and transformation ownershipControl architecture, security, data, and governanceBusiness stakeholder leadershipOwn the AI target operating modelAI & vendor partnership managementBackground requirementsApplications and software developmentAI influentialLead, manage, growTeamReport into CTOYou will adopt a team of 4 managers as direct reports (+ grow this team)Package:Salary, visa & medical for family, schooling allowance x 3, flight allowance and relocation assistance for those abroad.**Due to the high volume of applications, only applicants with the above skillset will be contacted**

Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.As a Machine Learning Intern, you will be participating in exciting projects covering the end-to-end Data Science lifecycle - from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments - such as product & tech, the core business verticals, trust & safety, finance and others - to enable them to be successful.In this role, you will: Query large datasets with SQL and feed ML models Perform data exploration to find patterns in the data and understand the state and quality of the data available Utilize Python code for analyzing data and building statistical models to solve specific business problems Evaluate ML models and fine tune model parameters considering the business problem behind Collaborate with senior peers to Deploy ML models in production Build customer-facing reporting tools to provide insights and metrics which track system performance Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data Participate in the off-hours on call stability rotation to support live ML models Requirements Bachelor's degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field Statistical modelling and math Basic knowledge of Machine learning algorithms Basic knowledge of SQL Basic knowledge of visualization tools such as Periscope Excellent verbal and written communication Strong problem solving skills BenefitsAbility to contribute to a platform used by more than 5M users in UAE and other platforms in the regionStrengthen your resume and build your networkOpportunity to find a full time career with the region's leading organizationWorking in a multicultural environment with over 60 different nationalitiesAccess to the Learning & Development tools and courses provided by the companyBayut & dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.#UAEdubizzle

We are partnering with a leading regional organization to appoint a Head of Data & Intelligence—a critical leadership role driving enterprise-wide data strategy, analytics maturity, and business intelligence across multiple markets.This is a high-impact opportunity to shape how data informs decision-making at the executive level, enabling commercial growth, operational efficiency, and digital transformation.The RoleAs Head of Data & Intelligence, you will define and lead the organization’s data vision, governance, and analytics capabilities across the region. You will build and scale a high-performing team while embedding a data-driven culture across business functions.Key ResponsibilitiesStrategy & LeadershipDefine and execute the enterprise data & analytics strategy aligned with business objectivesAct as a trusted advisor to senior leadership on data-driven decision makingLead, mentor, and scale a regional data, BI, and analytics teamData & AnalyticsOversee data architecture, warehousing, and governance frameworksDrive advanced analytics, predictive modeling, and AI/ML initiativesTranslate complex data into actionable insights for commercial and operational teamsBusiness Intelligence & ReportingEstablish best-in-class dashboards and reporting frameworksStandardize KPIs and performance tracking across marketsImprove data accessibility and self-service analytics capabilitiesTransformation & InnovationLead data transformation initiatives and modernize data infrastructureEvaluate and implement new tools, platforms, and technologiesFoster a culture of experimentation and continuous improvementRequirements12–15+ years of experience in data, analytics, or business intelligenceProven leadership experience managing large, cross-functional teamsStrong background in data strategy, governance, and architectureExperience with modern BI tools (e.g., Power BI, Tableau) and data platformsExposure to AI/ML and advanced analytics is highly preferredStrong commercial acumen and ability to influence C-level stakeholdersExperience in regional or multi-market environments is a plus

Vatic Labs is a quantitative trading firm in New York and Abu Dhabi. Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.As an AI Research Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities.We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.If you possess the following, we would love to explore what is available for you with our team:Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fieldsDemonstrable experience coding in C++ or Python in a Linux environmentHave experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression.In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methodsHave innate curiosity for understanding why and how certain techniques workHave deep knowledge of time-series analysisAdvanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferredContribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NIPS, ICML, etc.Have an interest and enthusiasm for learning about financial markets (previous experience not required)

We’re looking for a passionate AI - Curriculum Specialist to design and develop industry-relevant learning programs in AI, Machine Learning, and Data Science.Create engaging instructional materials including lesson plans, assessments, project-based learning modules, and digital contentCollaborate with subject matter experts, engineers, and trainers to ensure technical accuracy and relevanceIntegrate hands-on learning approaches using real-world datasets, tools, and case studiesContinuously update curriculum to reflect advancements in AI, machine learning, and data scienceEvaluate training effectiveness using feedback, analytics, and learner outcomesAlign content with certification frameworks and global best practicesSupport delivery teams with training materials, facilitator guides, and workshopsResearch latest EdTech tools and AI learning platforms to enhance deliveryRequirements:3–7 years in curriculum/instructional design or AI educationStrong knowledge of AI/ML, NLP, or GenAIExperience with tools like Python, TensorFlow (preferred)Familiarity with LMS and e-learning platformsJoin us to shape the future of AI learning!

Job Responsibilities - Participate in the design, development and iterative optimization of core algorithm modules for L4 Robotaxi, including perception and prediction. - Mine massive road test and simulation data, select training samples, and support algorithm model training and optimization. - Analyze autonomous driving corner cases, identify root causes, and drive closed-loop algorithm optimization. - Support the construction of data closed-loop system, collaborate cross-functionally to complete algorithm verification, and ensure reliable algorithm deployment and adaptation. Job Requirements - Bachelor’s degree or above in Computer Science, Artificial Intelligence, Automation or related fields; experience in intelligent driving algorithm development is preferred. - Proficient in core algorithms of at least one module (perception / prediction / planning), and familiar with related tech stacks and deep learning frameworks. - Skilled in Python/C++ programming, with hands-on experience in massive data processing, model training and tuning. - Capable of corner case analysis and problem root cause localization; Robotaxi project experience is a plus. - Excellent cross-team communication skills, strong self-motivation and learning ability, able to work under R&D pressure.

Transguard Workforce Solutions is the UAE’s leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.We are currently recruiting a AI Engineer for our Government client, based out of their office in Abu Dhabi, UAE.Job Purpose:We are seeking a highly skilled AI Engineer with expertise in Large Language Models (LLMs), Machine Learning, and Cloud Deployment. This role involves building and deploying AI solutions, integrating APIs, and optimizing performance for large-scale systems.Job Responsibilities:Develop and Fine-Tune AI Models: Build and optimize Large Language Models (LLMs) for tasks like handwriting recognition and image processing.Cloud & On-Prem Deployment: Deploy AI models on AWS Cloud (UAE Region) and local servers, ensuring scalability and security.API Integration: Connect AI models with internal and external systems using RESTful APIs for seamless functionality.Performance Optimization: Monitor, troubleshoot, and enhance model accuracy, speed, and reliability in production environments.Infrastructure Design: Architect high-speed network setups and AI communication frameworks to support large-scale AI applications.Data Management: Handle data preprocessing, cleaning, and augmentation for training models; manage local LLMs and databases.Collaboration & Innovation: Work closely with cross-functional teams to integrate AI solutions into existing platforms and research next-gen AI technologies.Job Requirements:Bachelor’s/Master’s in Computer Science, AI, or related field.Minimum 4 years of hands on experience with LLMs and AI frameworks.Proficiency in Python, TensorFlow, PyTorch, Node.js, and .NET.Strong knowledge of AWS Cloud deployment and API integration.Experience with LangChain, OpenAI, and open-source AI tools.Note: Add your Portfolio showcasing previous AI/LLM projects in your CV, this is mandatory

AI Engineer (6-Month Contract)📍 Abu Dhabi, UAE | On-site | 6-month contractWe're looking for an AI Engineer to join an IT team in Abu Dhabi for a 6-month contract. You'll build AI tools (like chatbots, document automation, and smart assistants) on Microsoft Azure, and connect them to systems the company already uses, like SharePoint, Teams, and SAP.You'll also work side-by-side with the internal IT team to teach them how to maintain everything after the contract ends.This is a builder role, not a strategy role. You'll write production code, not slide decks.What you'll doDesign and deploy Azure-native AI solutions: RAG systems, agentic applications, document intelligence pipelinesIntegrate AI services with the Microsoft 365 ecosystem (Copilot Studio, SharePoint, Teams, Power Platform)Connect data from Box.com, SharePoint, and SAP SuccessFactorsImplement security, identity (Entra ID), and AI governance controlsPair-program with the internal ICT team to transfer capabilitySet up CI/CD, monitoring, and cost-optimisation for AI workloadsDocument architecture decisions and operational runbooksAdvise on Azure AI best practices and platform evolutionWhat we're looking forMust have:3–5+ years hands-on software engineering with AI/ML deployment focusProduction experience on Azure (Azure OpenAI, AI Search, Document Intelligence, AI Foundry)Strong Python — production-grade, not notebooksRAG pipelines at enterprise scaleAI agent frameworks (Semantic Kernel, LangChain, AutoGen)Cloud infrastructure: networking, security, Entra ID / Azure ADAI integration with Microsoft 365, SharePoint, TeamsStrong documentation and knowledge-transfer skillsNice to have:Box.com API experienceSAP SuccessFactors or HRMS integrationsUAE PDPL / data residency awarenessAzure certs (AZ-305, AI-102, AZ-204)Previous FDE / solutions engineering experienceArabicGCC experiencePlease submit your CV for consideration. Note that only candidates meeting all the 'must-have' requirements will be shortlisted for this role

About UsWe are a specialist consulting firm delivering services and solutions in “Everything Data” – Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. We are part of a strategic alliance with Synvert, a group of six successful full-service Data & Analytics (D&A) consulting firms, with a clear goal to become one of EMEA’s largest D&A consulting companies.Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.As a Principal AI Consultant you'll be responsible for leading complex end-to-end Artificial Intelligence engagements, driving the definition, architecture, delivery, and adoption of high-impact AI solutions. The role combines deep expertise in AI, machine learning, and software engineering with strong leadership and consulting capabilities. The Principal Artificial Intelligence Consultant provides direction on solution design, delivery strategy, and technical standards, ensuring that AI solutions are scalable, reliable, maintainable, and aligned with business objectives.Your TasksLead complex Artificial Intelligence engagements from opportunity shaping and problem framing to solution delivery, deployment, and adoptionGuide the design and implementation of production-grade AI solutions, includingsolution architecture,models, AI applications, APIs, orchestration layers, pipelines, and platform integrationsBring structure to ambiguous business challenges by defining scope, requirements, execution plans, technical approaches, and expected valueEnsure delivery excellence through strong engineering standards, code quality expectations, testing approaches, observability, monitoring, and operational governanceDrive key technical and functional decisions across modelling, application architecture, scalability, reliability, security, and maintainabilityManage and influence technical and business stakeholders, building trust andidentifyingopportunities foradditionalvalue creationCoach and guide team members across project delivery, technical problem solving, and solution qualityContribute to reusable assets, delivery methodologies, technical standards, and best practices across the Artificial Intelligence practicePresent strategic recommendations, delivery progress, and technical outcomes ina clear way, translating complexity into business impactBuild and strengthen client relationships,identifygrowth opportunities within existing accounts, and contribute to new business developmentContribute to recruitment activities, including candidate evaluation, interviews, and support throughout the hiring process Mentor senior team members and help develop leadership, delivery, and technical capabilities across the practicewithin project deliveryRepresent the Artificial Intelligence team in internal and external initiatives, promoting its capabilities, impact, and continuous growthWhat do we expect from you?Education & ExperienceDegree in Computer Science, Engineering, Statistics, or related field +7years of experience in Data Science or AI roles +2 years of experience leading teams and managing end-to-end project delivery Proven experience delivering AI/ML solutions in production environmentsStrong experience leading end-to-end project delivery, technical design, and stakeholder management in client-facing environmentsTechnical Skills Expert programming skills in Python and strong hands-on experience with AI / ML frameworks and production AI ecosystems Deep understanding of Statistics, Machine Learning, Artificial Intelligence, and the design of production-grade intelligent systemsStrong expertise in architecting and delivering scalable AI applications, including APIs, services, pipelines, orchestration, deployment, and monitoring Strong software engineering knowledge covering architecture patterns, code quality, testing strategy, CI/CD, observability, resilience, security, and long-term maintainabilityAdvanced knowledge of MLOps/LLMOps practices, including deployment, model and application monitoring, evaluation frameworks, governance, feedback loops, and lifecycle managementBroad understanding of modern AI solution types such as machine learning models, forecasting, recommendation systems, optimization, AI agents, RAGand LLM-based applicationsSoft Skills Excellent communication and stakeholder management skills Strong leadership and coaching capabilitiesAbility to translate complex technical concepts into business value and strategic directionAnalytical, problem-solving and decision-making skillsProactive, team player, and continuous improvement mindsetAbility to operate effectively in ambiguous and fast-evolving environmentsWhat You Can ExpectAgile company culture and the best teamJoin our international, ambitious, and collaborative teams that value ownership and excellence.Structured onboarding for smooth integration.Company-wide events (Christmas, Spring, Summer) and regular after works.Community initiatives and team-driven activities (Football team, Gaming channel).Continuous developmentWork on challenging projects that accelerate your professional growth.Structured mentoring, training, and certification programs.Use of agile frameworks combined with established planning and delivery standards.Talent Cycle: regular performance reviews, continuous feedback, and clear career paths.Working ModelAbu Dhabi - In officeOther BenefitsFlexible benefits plan: health insurance, transport, childcare vouchers.Remuneration is structured according to benchmarks and evolving market practices, ensuring internal consistency, external competitiveness, and alignment with business performance and professional progression.25 vacation days.

About SteerAISteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transforming operations and protecting organizations' most important assets: their workforce.Role OverviewWe are looking for a Perception Engineer to join our GROUND Robotics team. In this role, you will be primarily responsible for maintaining and evolving the perception module of SteerAI’s CoreX autonomy stack, which supports autonomous mission execution across diverse platforms.Key ResponsibilitiesMaintain and improve CoreX’s perception module, including capabilities such as object detection, semantic segmentation, multi-object tracking, LiDAR-based terrain understanding.Extend and adapt the perception system for new robotics platforms and deployment scenarios.Develop clean, modular, and efficient C++ code aligned with industry best practices and ROS1/ROS2 standards.Collaborate closely with localization, planning, and controls teams to ensure seamless system integration and performance.Conduct field testing and iterative tuning of perception features under real-world conditions.Contribute to code reviews and maintain detailed technical documentation for system components.Qualifications Bachelor’s or Master's degree in Robotics, Computer Vision, or a related field.4+ years of experience in real-time perception or computer vision systems.Strong programming skills in C++, with hands-on experience in ROS1 or ROS2-based systems.Proficiency with common perception libraries and frameworks such as OpenCV, PCL, Open3D, PyTorch, and TensorRT.Practical experience with sensor calibration, obstacle detection, LiDAR filtering, and related perception tasks.Familiarity with multiple sensor modalities including LiDAR, monocular/stereo cameras.Experience using modern development tools and workflows (e.g., Git, Docker, Jenkins).Exposure to off-road or unstructured terrain perception challenges.Familiarity with traditional perception techniques, alongside deep learning-based methods including dataset preparation, model development, and deployment; experience with transformer-based approaches is a plus. Hands-on experience with ARM64-based edge devices such as the NVIDIA Jetson familyStrong communication skills, capable of effectively explaining complex idea.Able to work independently and as part of a fast-paced, mission-driven team.Proactive mindset with a willingness to pivot between different parts of the perception stack when needed.What We OfferWe provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment.Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events.Join us to drive innovation and shape the future of technology!

Hi, we're ClearVUE DubaiClearVUE Dubai is an environmental and energy consultancy and technology provider. We work with companies across all sectors to define and execute their carbon reduction and energy efficiency strategies on their wider ESG initiatives.Through comprehensive energy and carbon assessments and strategy building and implementation services, underpinned by industry-leading energy and carbon management technology, we are creating revolutionary solutions for businesses to eradicate their impact on the climate one step at a time.ClearVUE Dubai is part of Global Procurement Group, a multinational group of companies working in energy procurement and consultancy. Join our global family, with modern and vibrant offices in the UK, France, Malta, and India. Be part of a team leading the way in energy consultancy and helping businesses make informed decisions about their energy consumption.The opportunityAre you an AI engineer with a passion for data, innovation, and driving real-world impact? We’re looking for a skilled and motivated AI Engineer to join our data team in Dubai. In this role, you’ll work on impactful projects in energy and sustainability, applying advanced machine learning techniques, AI tools, and large language models (LLMs) to solve complex, real-world challenges and help shape the future of intelligent solutions.What exactly will you do?Collaborate with our team to analyse and interpret data from diverse sources, utilizing advanced SQL and data extraction techniques to pull insights from sensors, APIs, and customer platforms.Design, develop, and deploy machine learning models that predict trends and improve efficiency, capable of handling both real-time processing and large-scale batch inference tasks.Rapidly conceptualize and build autonomous AI agents, integrating them into production environments to automate complex workflows and decision-making processes.Take a resourceful approach to innovation; you will frequently whip up quick prototypes and deploy proof-of-concept solutions rapidly, allowing the team to test hypotheses and iterate fast before full-scale development.Stay current with the latest advancements in AI, data science, and MLOps tools, and bring innovative ideas to the team.Participate in brainstorming sessions, code reviews, and planning meetings; your technical perspective and creativity will help shape our solutions.What we’re looking for3 – 5 years of experience working as an AI Engineer or similar role.Bachelor's Degree in Computer Science, Data Science, Engineering, Maths, Physics, or a related field.Hands-on experience designing and shipping AI/ML solutions across the entire lifecycle; from data ingestion and model development through deployment, APIs, and user-facing interfaces. Familiarity with building AI solutions both on the cloud (GCP, AWS, Azure, etc.) and on-prem. Managing, manipulating, and enriching enterprise data pipelines across relational, graph, and vector stores (e.g., PostgreSQL, Neo4j) and modern ETL frameworks used in AI systems. A nuanced understanding of optimizing model outputs, & monitoring model performance across industry-standard benchmarks. Proven ability to move fast: you are comfortable building and deploying quick prototypes to demonstrate business value, and you know how to be resourceful when bringing novel ideas to life. Excellent communication skills; you can clearly explain technical concepts to both technical and non-technical audiences.A proactive team player with a growth mindset, eager to learn, share knowledge, and contribute to meaningful projects.Nice to Have (but not expected)Master's Degree in related field.Experience connecting AI models with live enterprise data sources.Knowledge of time series data or experience working with energy, IoT, or sustainability projects.Familiarity with cloud platforms (AWS, GCP, or Azure) or tools like Git, Docker, or APIs.Familiarity with AI coding tools (Claude code, Codex, Cursor etc.)Proficiency in JavaScript and TypeScript, with experience building full stack applications that integrate AI capabilities end-to-end.Exposure to agnostic AI frameworks or modern developer tools like the Vercel AI SDK for building flexible, provider-independent applications.Why Join Us?This is your chance to work with a team building technology that actually matters, not just another app, but a platform helping organisations become more energy efficient and sustainable. We’ll support your growth, celebrate your ideas, and push the boundaries of what software can do in today’s energy landscape.What’s in it for you?💎 Compensation Package: We offer a base salary of 16,000 AED/month, plus Comprehensive Health Insurance.🌍 Purpose-Driven Impact: Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.🚀 Ongoing Support and Development: Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.📈 Clear Path to Advancement: We believe in nurturing our own; promotions from within are our specialty.GPG is an equal opportunity employer and applicants will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Job DescriptionThe role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.Job Description - Grade SpecificPlays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.

JOB TITLEManager- Data Scientist | Holding | StrategyRole SummaryThe Data Scientist is responsible for developing and deploying advanced analytics and machine learning solutions to support data-driven business decisions. The role involves managing the full model lifecycle, from data analysis and feature engineering to model deployment and performance monitoring, while transforming complex data into actionable business insights.ROLE PROFILEDesign, build, train, and validate predictive and prescriptive models using statistical, machine learning, and optimization techniques.Perform variance attribution and root-cause analysis to explain deviations and inform performance improvement actions.Deploy AI-enabled solutions to streamline analytical workflows and accelerate decision-making processes.Work with data engineers to ensure data pipelines, feature stores, and ETL processes support modelling needs.Collaborate with platform and ML engineering teams to operate models in production environments through automated pipelines and APIs.Implement MLOps frameworks for version control, documentation, reproducibility, performance monitoring, and retraining.Champion data-driven decision-making and foster analytical literacy across the organization.Contribute to internal knowledge repositories, development of reusable assets, accelerators, and internal best-practice frameworks to improve time-to-value.RequirementsBachelor’s or Master’s degree in data science, statistics, applied mathematics, computer science, or related fields.5 - 8 years of experience in data science, machine learning, or applied analytics, within a complex or large-scale organization.PhD preferred or equivalent experience demonstrating advanced research capability.The role requires strong proficiency in Python or R for modeling and analysis, and fluency in SQL or PySpark for data extraction and manipulation.A deep understanding of statistical methods, time-series forecasting, regression modeling, and supervised and unsupervised learning techniques is essential.Experience with generative AI or NLP frameworks (Claude Sonnet, OpenAI APIs, Hugging Face, LangChain) is considered an advantage.What We OfferAt Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!Work in a friendly environment, where everyone shares positive vibes and excited about our future.Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

What you'll doSet the technical bar across our vehicle-detection and license-plate-recognition stack. Govern model architecture choices, dataset strategy, evaluation pipelines, and deployment patterns.Design, train, optimise, and deploy CV models for vehicle detection, classification (type, colour, brand, model), and GCC license-plate recognition.Convert and optimise models (YOLO family and others) for inference on Intel CPUs using OpenVINO; profile and reduce latency on edge hardware until you hit the SLA you own.Drive performance work on inference latency, model footprint, and CPU resource use for fleet-scale deployment.Govern the labelling guideline with the AI labelling operator: prioritise edge cases, audit dataset quality, sign off on dataset releases.Partner with the full-stack and web teams to expose model outputs through stable APIs that survive model updates.Mentor the AI labelling operator and any junior engineers who join later. Review code and model evaluations.Stay current on practical CV research; bring back what's worth integrating, reject what isn't.What you'll bring5+ years of production computer-vision work, including at least one role with senior or technical-lead responsibility.Deep C++ (C++17 or newer) and Python. Comfortable in both Linux and Windows build environments.Strong OpenVINO experience or equivalent (TensorRT, ONNX Runtime). You have personally optimised a model below an SLA you owned.ANPR / OCR / vehicle-recognition or comparable safety-critical CV background - ideally on edge hardware.Demonstrated ability to design model evaluation pipelines and ship measurable improvements over baselines.Linux command-line fluency.English fluency - written and spoken.Nice to haveDirect GCC license-plate experience.Experience working with classified or restricted-access datasets and the operational disciplines that go with them.Experience leading 1-3 person AI teams.C++ inference on Intel platforms (OpenVINO model optimisation, INT8 quantisation, multi-threaded inference).Windows desktop application packaging.Experience with M1 / Apple Silicon for future portability.Arabic - reading useful for GCC plate work.Location & work authorizationAbu Dhabi - onsite at our headquarters. Open to candidates already in the UAE with valid work authorization, or to candidates willing to relocate; the company sponsors residency for international hires. Hybrid available after probation by manager agreement.

To lead the Data & AI practice, ensuring the alignment of data strategy with the company's vision and overseeing robust data management and governance. This role will be primarily for a customer, setting up their Data & AI practice, covering People, Process and Technology.Role Description:The Head of Data & AI is responsible for spearheading the Data & AI initiatives within the organization. This leadership role requires strategic vision, execution excellence, and a firm commitment to data governance.Lead the Data & AI practice aligned with the overall company vision and strategy.Develop and implement data strategies, data management practices, and governance frameworks.Manage and mentor Data Engineering and Business Intelligence teams to foster a culture of innovation and excellence.Ensure the implementation of data policies, controls, and frameworks across the organization.Collaborate with cross-functional teams to integrate data-driven solutions.Job Specific Knowledge & Skills:Minimum 15 years of experience in Data Management and Data Governance.Proven leadership skills with experience managing large teams.Strong ability to drive and implement data strategies.Extensive knowledge of data policies and frameworks.Excellent communication and stakeholder management skills.Leadership and team management skills.Strategic planning and execution.Deep understanding of data infrastructure and governance.Problem-solving and critical thinking abilities.Proficiency in data analytics and business intelligence tools.Qualifications And Relevant Roles/Experience:Bachelor's or Master's degree in Data Science, Computer Science, or a related field.At least 15 years of experience in Data Management, with significant experience in leadership roles.Certifications in data management, analytics, or AI technologies are a plus.

TechnologyDubai, UAE (Hybrid Work Model) Please note that, due to operational and logistical considerations, we do not currently accommodate relocation packages and foreign visas.Apply NowRole SummarySLICIT is on the forefront of integrating Web 3.0 technologies into the asset management and fintech sectors.We are seeking a Data Scientist with a pioneering spirit to harness vast datasets and apply analytical rigor in the realms of blockchain, tokenization, NFTs, and other Web 3.0 concepts.Your role will be instrumental in driving innovation through data-driven insights, particularly in optimizing asset management strategies, exploring fintech opportunities, and leveraging real-world assets through digital transformation.This position is tailor-made for someone who not only excels in technical and analytical capacities but also brings a wealth of business experience and industry knowledge in asset management, fintech, and the burgeoning field of digital assets.Reporting ToChief Technology OfficerEmployment TypeFull-TimeEssential Qualifications And SkillsMachine Learning and AI Expertise: The ideal candidate will possess a robust foundation in both theoretical and practical aspects of machine learning (ML) and artificial intelligence (AI), with a particular emphasis on applications within the financial sector. You should have hands-on experience designing, implementing, and validating a wide range of ML models, from traditional algorithms like Linear Regression, Decision Trees, and Clustering, to more advanced techniques including Neural Networks, Natural Language Processing (NLP), and Reinforcement Learning. Knowledge of Tools and Frameworks: Proficiency in using Python libraries such as Scikit-learn for machine learning model development and TensorFlow or PyTorch for deep learning applications. Experience with NLP tools like NLTK or spaCy to derive insights from textual data, which is particularly relevant in analyzing market sentiment or financial news. Familiarity with reinforcement learning frameworks such as OpenAI Gym, which can be applied to develop sophisticated trading algorithms that adapt and learn from the market’s dynamics. A track record of employing AI-driven analytics to forecast market trends, optimize investment portfolios, or enhance customer personalization and engagement in fintech solutions. Demonstrated Impact: Evidence of past projects where your ML and AI expertise directly contributed to significant business outcomes, such as improved investment returns, risk reduction, operational efficiencies, or customer satisfaction enhancements. The ability to quantify the impact of your work (e.g., percentage increase in investment performance, reduction in risk exposure) will be highly valued. Programming and Data Manipulation Proficiency: Adeptness in programming and data manipulation, critical for analysing complex datasets and developing scalable solutions. Core Programming Languages: Proficiency in Python is essential, given its widespread use in data science for everything from data manipulation with Pandas to complex machine learning with libraries like TensorFlow and scikit-learn. Expertise in R is also valuable, particularly for statistical analysis and visualization. Knowledge of SQL is crucial for querying databases and manipulating data stored in SQL databases. Data Manipulation Tools and Techniques: Candidates should demonstrate expertise in handling large datasets, employing techniques and tools for data cleaning, transformation, and aggregation. Experience with Python libraries such as NumPy and Pandas, or R packages like dplyr and tidyr, is expected. Version Control and Collaboration: Familiarity with version control systems, notably Git, is necessary for efficient collaboration within a team. This includes managing code repositories, branching, merging, and handling pull requests in platforms like GitHub or GitLab. Advanced Analytical and Statistical Skills: Expertise in statistical analysis, predictive modeling, and data mining, with a proven track record of leveraging these skills to drive business decisions. Education: A Master’s or PhD in Data Science, Computer Science, Mathematics, Statistics, or related field, with ideally coursework or projects focused on finance, blockchain, or digital assets. Nice-to-Have SkillsProgramming and Data Manipulation Proficiency in Scala or Java would be a plus, tailored towards data science applications in finance and asset management. Big Data Technologies: Familiarity with big data frameworks and cloud computing environments, enhancing data processing and analysis capabilities. Deep Learning Proficiency: Knowledge of deep learning applications in finance, such as predictive analytics for market trends or customer behaviour analysis. Data Visualisation Skills: Competence in using tools like Tableau or Power BI for creating intuitive data visualisations that convey complex information to stakeholders. Business Experience and Industry Knowledge: Some experience in asset management, fintech, or related sectors, with a keen understanding of market dynamics, regulatory environments, and the potential of digital transformation through Web 3.0 technologies. Blockchain and Web 3.0 Technologies: Deep understanding of blockchain fundamentals, smart contracts, tokenization of assets, NFTs, and their implications for asset management and fintech is a big advantage. Experience with platforms such as Ethereum, Hedera Hashgraph, and Polygon. In particular: Fundamental Blockchain Concepts: Candidates should have a solid grasp of key blockchain principles, including decentralized ledgers, consensus mechanisms, smart contracts, and cryptographic protocols. This knowledge is vital for analysing blockchain data and understanding the underlying technology of digital assets and transactions. Blockchain Platforms and Tools: Experience with major blockchain platforms such as Ethereum, for smart contract development, and ideally familiarity with newer platforms like Hedera Hashgraph, Polygon or Polymesh. Smart Contracts and DApps Development: While primarily a data-focused role, understanding the development and deployment of smart contracts and decentralized applications (DApps) can provide valuable insights into data sources and potential applications of blockchain in asset management and fintech. Knowledge of Solidity (for Ethereum) or other smart contract languages is a plus. Blockchain in Finance: Specific experience in applying blockchain technology to solve problems in finance, such as through tokenization of assets, implementation of NFTs for unique asset representation, or enhancing the security and efficiency of transactions. Industry Certifications: Certifications related to blockchain technology, data science, or finance, showcasing a commitment to ongoing professional development. Remuneration BenefitsCompetitive Salary: Reflective of the expertise and strategic importance you bring to the team. Comprehensive Benefits Package: Premium health insurance, retirement planning options, and generous vacation policies. Professional Development: Commitment to your growth through conferences, workshops, and certifications in emerging technologies and financial analysis. Innovative Work Culture: Be part of a dynamic team pushing the boundaries of technology in asset management and fintech. How To ApplyAre you excited by the challenge of transforming the asset management and fintech landscapes through Web 3.0 technologies? If you have a solid foundation in data science, your next career milestone awaits with us.Interested candidates should submit their resume, a comprehensive cover letter detailing your relevant experience, along with any notable projects, , and why you’re a fit for SLICIT, to careers@slicit.com with the subject line “Data Scientist Application”.Apply Now

Head of AI – Global FinTechLocation: Abu Dhabi, UAEFull Relocation Support ProvidedOverviewA rapidly scaling global FinTech platform is seeking a Head of AI to lead the development of next-generation AI-powered products, intelligent automation, recommendation systems, and AI-native engineering capabilities. The company operates a large-scale, real-time financial platform serving tens of millions of users across more than 150 markets and regions, with billions in daily transaction activity. The organization is investing heavily in AI as a strategic pillar to enhance customer experience, platform intelligence, automation, and developer productivity.This is a high-impact leadership role for an individual eager to shape AI strategy and architecture on a global scale, addressing complex real-world challenges in recommendation systems, LLM applications, AI infrastructure, and intelligent automation.Responsibilities Define and execute the company’s AI vision, roadmap, and technical strategy across multiple AI domains. Lead and scale a high-performing AI engineering and algorithms team. Drive the development of AI-powered capabilities, including: Large Language Models (LLMs) Intelligent customer interaction systems Personalized recommendation systems AI-native engineering productivity initiatives Build scalable AI platforms, reusable infrastructure, and production-grade ML systems. Lead deployment of recommendation and personalization pipelines, including: Retrieval Ranking Re-ranking Recommendation optimization Architect and productionize LLM-powered applications leveraging: Retrieval-Augmented Generation (RAG) Fine-tuning Agent frameworks Multi-modal AI workflows Enterprise knowledge systems Collaborate closely with product, engineering, and business leadership to align AI investments with measurable business impact. Foster a strong engineering culture, technical standards, and talent development practices within the AI organization. Stay ahead of emerging trends in generative AI, AI infrastructure, developer tooling, and applied AI systems.RequirementsRequired: Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or related disciplines; advanced degrees preferred. 8+ years of experience in AI/ML engineering, with prior experience leading technical teams or large-scale AI initiatives. Proven experience deploying AI systems into production at scale. Strong hands-on experience with recommendation systems, including: Retrieval Ranking Re-ranking Personalization systems Deep practical experience building and deploying LLM applications, including: Prompt engineering Retrieval-Augmented Generation (RAG) Fine-tuning Agent workflows AI evaluation frameworks Experience building enterprise-grade AI knowledge systems and scalable AI infrastructure. Strong business and product understanding, with the ability to translate AI capabilities into measurable operational impact. Excellent communication and stakeholder management skills.Preferred Experience with leading global technology companies, large-scale consumer platforms, or AI-native organizations. Experience building AI platforms, MLOps ecosystems, or internal AI infrastructure frameworks. Familiarity with AI coding assistants and AI-native engineering workflows. Mandarin Chinese language capability (Professional working proficiency) is highly preferred, as the role involves frequent collaboration with regional stakeholders and engineering teams across APAC.Why Join Opportunity to shape AI strategy at a global scale. High visibility with executive leadership. Tackle large-scale, real-world AI deployment challenges. Work in an international engineering environment. Full relocation support provided.Unfortunately, due to volume of applicants, only shortlisted candidates will be contactedEA Licence No.: 25S3232EA Personnel Reg. No.: R1874604EA Personnel Name: Kenneth Ho

Job Purpose: Saal.ai is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), Generative AI models including Large Language Models (LLMs), natural language processing (NLP), speech analysis and recognition, as well as agentic frameworks and relevant tools. This role requires leading junior to mid-level ML engineers and developers, driving the development of robust AI models, and ensuring their deployment in production environments. The candidate must also possess strong full-stack and software development skills.Key Responsibilities: Team Leadership: Mentor and guide junior to mid-level ML engineers and developers, fostering a collaborative and innovative environment.Model Development: Build, train, and optimize robust AI models using state-of-the-art techniques in NLP, speech analysis, and recognition.AI Service Packaging: Package AI models as services, ensuring they are ready for deployment in production environments.Deployment: Deploy AI services using microservices architecture and Docker containers for scalable and reliable operation.Automated Pipelines: Design and implement automated machine learning pipelines for model training, testing, and inference.Scalable Deployments: Develop and manage scalable deployments and distributed training processes to handle large-scale data and models.Performance Monitoring: Continuously monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency.Full-Stack Development: Utilize strong full-stack development skills to contribute to the software development lifecycle, including front-end and back-end development.Software Engineering: Apply software engineering best practices in the development, testing, and maintenance of AI systems.Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver high-quality AI solutions.Technical SkillsDeep understanding of ML, DL, Generative AI models, NLP, and speech analysis and recognition.Proficiency in Python and Java programming, with strong coding skills and experience in developing large-scale AI systems.Experience with microservices architecture and Docker containers for developing and deploying scalable AI services.Expertise in designing and implementing automated ML pipelines for efficient model training, testing, and inference.Knowledge of scalable deployments and distributed training techniques, leveraging cloud platforms and distributed computing resources.Strong full-stack development skills, including proficiency in front-end and back-end technologies.Familiarity with Ubuntu server commands and basic DevOps skills, ensuring robust and reliable AI infrastructure.Experience working with NLP AI models processing Arabic language models.LLM and Agentic SkillsIn-depth understanding of Large Language Models (LLMs) and their architectures, including transformer-based models like GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers).Experience in fine-tuning and training large language models on specific tasks or domains, such as text generation, language translation, or sentiment analysis.Proficiency in working with pre-trained LLMs and adapting them to custom applications, including handling tasks like tokenization, attention mechanisms, and context understanding.Knowledge of techniques for optimizing LLMs for performance, including parameter tuning, regularization, and model compression.Experience5+ Years Experience required in AI/ML Proven experience in machine learning engineering with a focus on building and deploying AI models.Extensive hands-on experience with ML frameworks and tools (TensorFlow, PyTorch, etc.).Hands-on experience with transformers AI models, language models, and fine-tuning/training large language models (LLMs).Preferred Educational Qualifications and Professional CertificationsMaster's degree in Artificial Intelligence, Computer Science, or a relevant field. Language Proficiency: Proficiency in Arabic language is a plus.UAE Nationals are encouraged to apply

Role OverviewThe Senior AI Engineer leads the technical delivery of one or more AWA use cases end-to-end, from Agent Profile definition through to production UAT sign-off. You own the architectural decisions within your use case domain: agent graph topology, confidence calibration, HITL threshold negotiation with the business, and the regression testing regime. You mentor AI Engineers and are the primary escalation point for complex LangGraph, LLM, and evaluation challenges. You are expected to identify failure modes before they reach production and to drive the adoption of new AWA capabilities across the use case portfolio.Required Skills And ExperienceTechnical — Essential 5+ years Python development; 2+ years in production AI/ML engineering Deep LangGraph or equivalent agentic framework experience: graph topology, state management, conditional edges, checkpoint-based recovery LLM evaluation expertise: F1 measurement against ground truth, Expected Calibration Error (ECE), hallucination detection, confidence calibration Prompt engineering at scale: versioned prompts, sensitivity analysis, few-shot dataset curation, PMS governance RAG architecture: hybrid retrieval (BM25 + vector), re-ranking, chunk citation, grounding verification Azure AI Foundry or equivalent LLM inference platform: PTU, PAYG, token budget management, APIM integration Workflow orchestration: Orkes Conductor or Temporal — HITL wait tasks, retry policies, compensating transactions CI/CD pipeline integration for ML: Azure DevOps, MLflow experiment tracking, model registry promotionTechnical — Advantageous Computer vision model deployment and evaluation (object detection — TPR/TNR/IoU) Azure AI Document Intelligence: form recogniser, custom models, layout analysis Kubernetes / AKS: workload identity, namespace isolation, KEDA autoscaling Apache Iceberg, DuckDB, and data contract patterns Banking domain knowledge: cheque clearing, trade finance, KYC, AMLQualifications Bachelor's degree in Computer Science, AI/ML, or equivalent; Master's preferred Azure AI Engineer Associate or equivalent certification Demonstrable production AI deployments — case studies or public work highly valued

We have an urgent requirement for Senior AI Engineer / Agentic AI Engineer with Multimodal and Vision Models ,Azure OpenAI, Azure AI Document Intelligence is required for our banking client in Abu Dhabi, UAEStrong Experience In Multimodal And Vision Models- MUSTStrong experience in Image Embeddings and OCR ---MustBuild scalable Generative AI / RAG pipelines MUSTStrong experience on Azure AI Document Intelligence and Azure Openai GPT is THE MUSTStrong experience in Computer Vision---MustWe are hiring a highly skilled Senior AI Engineer / Agentic AI Engineer with strong experience delivering enterprise-scale AI solutions in Banking or Financial Services. The ideal candidate will have hands-on expertise in building Agentic AI systems, Generative AI pipelines, and production-grade Conversational AI / RAG platforms on Microsoft Azure.You will work on real-world banking use cases such as Conversational AI, Document Intelligence, Agentic Workflow Automation, and Multimodal AI systems serving large user bases.Key Responsibilities Design and implement Agentic AI architectures for banking-grade enterprise applications Build scalable Generative AI / RAG pipelines using Azure OpenAI and Azure AI Search Deliver production-grade AI systems with high availability, security, and performance Implement multimodal and multilingual AI solutions (Text + Vision, including English / Arabic) Develop document processing pipelines using Azure AI Document Intelligence Build Computer Vision workflows using OpenCV Develop REST APIs using FastAPI and deploy using Docker and Azure Containers Design embedding, vector search, and hybrid retrieval strategies Integrate Azure Cosmos DB / Document DB Implement CI/CD pipelines and Git-based workflows Collaborate closely with business stakeholders and engineering teams to deliver end-to-end AI solutions🔹 Mandatory Skills 3+ years of hands-on experience in AI / ML / Generative AI / Agentic AI Prior experience implementing AI solutions in Banking or Financial Services, delivering enterprise-scale, production-grade systems Strong expertise in Python and SQL Microsoft Azure Cloud experience including: Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Azure Vision, Azure AI Foundry Agentic / LLM frameworks: LangGraph, LangChain Advanced Prompt Engineering Computer Vision using OpenCV API development using FastAPI Git, Docker, Azure Container Services Azure Cosmos DB / Document DB CI/CD pipelinesGood to Have Open-source AI technologies (YOLO models, Deep Learning, NLP) Agent orchestration frameworks: Semantic Kernel, Microsoft Agentic Framework LLM evaluation metrics and frameworks (RAG evaluation, custom benchmarks, etc.) MCP (Model Context Protocol) Orkes (Agentic AI Workflow Automation Tool) Streamlit or Flask for rapid PoC development Microsoft Certification: Azure AI Engineer (AI-102)🔹 Preferred Candidate Profile Strong system design and architecture mindset Experience working on large-scale enterprise AI platforms Comfortable owning end-to-end delivery (design → build → deploy → scale) Currently based in UAE or willing to relocate to Abu DhabiSkills: intelligence,bank,ai

We are looking for a hands‑on AI/ML Engineer to own and execute MLOps, evaluation, and deployment practices for a production AI platform built on LLMs, agentic workflows, vision, and voice AI.This role is strongly execution‑focused. You will work across the entire AI lifecycle—from evaluation and observability to RLHF, deployment in constrained environments, and production readiness sign‑off—while collaborating with internal teams and directing external vendors.Key ResponsibilitiesMLOps & Deployment OwnershipDefine and oversee MLOps practices including:Agent and model versioningEvaluation trackingDeployment gating and promotion workflowsRollback and recovery proceduresCollaborate with internal stakeholders and external delivery teams to ensure reliable production deployments.Evaluation, Monitoring & ObservabilityOwn the evaluation framework for:LLM‑based agentsRAG pipelinesVision Language Models (VLMs)Voice AI models (OpenAI Whisper, Chatterbox, Vibe Voice, or equivalent)Define and maintain:Offline evaluation methodologiesOnline monitoring and regression detection thresholdsHuman‑in‑the‑loop review processesSet up and manage AI observability tooling (e.g., Langfuse or equivalent) across all environments.Performance Reporting & InsightsBuild and maintain product performance reporting, covering:Model accuracy and agent effectivenessLatency and cost‑per‑interactionBias, quality trends, and stability across marketsProvide clear technical insights to non‑technical stakeholders.RLHF & Continuous ImprovementDesign and oversee RLHF (Reinforcement Learning from Human Feedback) pipelines:Data collection and feedback ingestionAnnotation guidelines and reward criteriaFeedback loops for continuous improvementDirect implementation by external teams and monitor quality improvements over time.Agent Memory SystemsOwn the design and validation of agent memory architectures, including:Short‑term context windowsLong‑term retrievalEpisodic memory across sessionsMemory lifecycle policies (retention, expiry, cost control)Define test criteria to ensure consistency across deployment environments.Model Benchmarking & OptimizationEvaluate and benchmark VLMs and voice models under constrained infrastructure.Recommend optimization strategies:QuantizationDistillationRuntime and model selection per jurisdictionValidate production readiness in on‑prem or sovereign environments.Production Readiness & RolloutsOversee production deployments executed by vendor teams.Run final validation checks and sign off on production readiness.Document deployment patterns, baselines, and environment‑specific configurations to accelerate future market rollouts.Privacy & Data ResidencyEvaluate and recommend privacy‑preserving deployment patterns, including:On‑device inferenceData isolationLocal or sovereign model hostingEnsure compliance with jurisdictional data residency requirements.Technical Requirements3–5 years of experience in applied AI, LLMOps, MLOps, or similar technical AI roles.Strong Python expertise:Type hints, async programming, FastAPICode reviews, evaluation scripts, prototyping pipelinesExperience with LLM application patterns:RAG pipelinesPrompt engineeringMulti‑agent orchestrationSolid background in supervised ML (scikit‑learn, XGBoost, LightGBM, or equivalent).Strong understanding of MLOps fundamentals:Model versioningExperiment trackingCI/CD deployment pipelinesMonitoring and rollback strategiesHands‑on experience with:RLHF or human‑feedback‑driven improvement loopsLLM/VLM/voice AI evaluation frameworksAgent memory architecturesWorking knowledge of:Vision Language Models (VLMs)Voice AI systems across latency, language, and hosting constraintsUnderstanding of model optimisation techniques (quantization, distillation, ONNX).Experience using AI observability tools (Langfuse, LangSmith, or equivalent).Comfortable directing or overseeing external/vendor engineering teams.Ability to work independently in ambiguous and non‑standard infrastructure environments.Good to HaveExperience with sovereign cloud or government‑regulated infrastructure.Familiarity with agentic AI frameworks (LangChain/LangGraph, CrewAI, PydanticAI).Exposure to federated learning or privacy‑preserving inference.Background in healthcare, insurance, or regulated domains.Experience building performance dashboards for non‑technical audiences.Immediate Joiner - Required

About UsWe are a specialist consulting firm delivering services and solutions in “Everything Data” – Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. We are part of a strategic alliance with Synvert, a group of six successful full-service Data & Analytics (D&A) consulting firms, with a clear goal to become one of EMEA’s largest D&A consulting companies.Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.As a Principal AI Consultant you'll be responsible for leading complex end-to-end Artificial Intelligence engagements, driving the definition, architecture, delivery, and adoption of high-impact AI solutions. The role combines deep expertise in AI, machine learning, and software engineering with strong leadership and consulting capabilities. The Principal Artificial Intelligence Consultant provides direction on solution design, delivery strategy, and technical standards, ensuring that AI solutions are scalable, reliable, maintainable, and aligned with business objectives.Your TasksLead complex Artificial Intelligence engagements from opportunity shaping and problem framing to solution delivery, deployment, and adoptionGuide the design and implementation of production-grade AI solutions, includingsolution architecture,models, AI applications, APIs, orchestration layers, pipelines, and platform integrationsBring structure to ambiguous business challenges by defining scope, requirements, execution plans, technical approaches, and expected valueEnsure delivery excellence through strong engineering standards, code quality expectations, testing approaches, observability, monitoring, and operational governanceDrive key technical and functional decisions across modelling, application architecture, scalability, reliability, security, and maintainabilityManage and influence technical and business stakeholders, building trust andidentifyingopportunities foradditionalvalue creationCoach and guide team members across project delivery, technical problem solving, and solution qualityContribute to reusable assets, delivery methodologies, technical standards, and best practices across the Artificial Intelligence practicePresent strategic recommendations, delivery progress, and technical outcomes ina clear way, translating complexity into business impactBuild and strengthen client relationships,identifygrowth opportunities within existing accounts, and contribute to new business developmentContribute to recruitment activities, including candidate evaluation, interviews, and support throughout the hiring process Mentor senior team members and help develop leadership, delivery, and technical capabilities across the practicewithin project deliveryRepresent the Artificial Intelligence team in internal and external initiatives, promoting its capabilities, impact, and continuous growthWhat do we expect from you?Education & ExperienceDegree in Computer Science, Engineering, Statistics, or related field +7years of experience in Data Science or AI roles +2 years of experience leading teams and managing end-to-end project delivery Proven experience delivering AI/ML solutions in production environmentsStrong experience leading end-to-end project delivery, technical design, and stakeholder management in client-facing environmentsTechnical Skills Expert programming skills in Python and strong hands-on experience with AI / ML frameworks and production AI ecosystems Deep understanding of Statistics, Machine Learning, Artificial Intelligence, and the design of production-grade intelligent systemsStrong expertise in architecting and delivering scalable AI applications, including APIs, services, pipelines, orchestration, deployment, and monitoring Strong software engineering knowledge covering architecture patterns, code quality, testing strategy, CI/CD, observability, resilience, security, and long-term maintainabilityAdvanced knowledge of MLOps/LLMOps practices, including deployment, model and application monitoring, evaluation frameworks, governance, feedback loops, and lifecycle managementBroad understanding of modern AI solution types such as machine learning models, forecasting, recommendation systems, optimization, AI agents, RAGand LLM-based applicationsSoft Skills Excellent communication and stakeholder management skills Strong leadership and coaching capabilitiesAbility to translate complex technical concepts into business value and strategic directionAnalytical, problem-solving and decision-making skillsProactive, team player, and continuous improvement mindsetAbility to operate effectively in ambiguous and fast-evolving environmentsWhat you can expectAgile Company Culture And The Best TeamJoin our international, ambitious, and collaborative teams that value ownership and excellence.Structured onboarding for smooth integration.Company-wide events (Christmas, Spring, Summer) and regular after works.Community initiatives and team-driven activities (Football team, Gaming channel).Continuous developmentWork on challenging projects that accelerate your professional growth.Structured mentoring, training, and certification programs.Use of agile frameworks combined with established planning and delivery standards.Talent Cycle: regular performance reviews, continuous feedback, and clear career paths.Working ModelAbu Dhabi - In officeOther BenefitsFlexible benefits plan: health insurance, transport, childcare vouchers.Remuneration is structured according to benchmarks and evolving market practices, ensuring internal consistency, external competitiveness, and alignment with business performance and professional progression.25 vacation days.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer in United Arab Emirates.Join a globally distributed and innovation-driven team working at the intersection of artificial intelligence, neuroscience, and digital finance. In this role, you will contribute to groundbreaking projects focused on brain-computer interface technologies, deep learning, and generative AI systems designed to decode and interpret neural activity. You will collaborate with multidisciplinary experts to develop scalable machine learning models and cutting-edge AI infrastructure that push the boundaries of research and real-world applications. This is an exciting opportunity for someone passionate about advanced AI, scientific discovery, and building impactful technologies in a fast-paced remote environment. The role offers strong exposure to research-oriented work while maintaining a practical focus on scalable engineering solutions. If you thrive in highly technical environments and enjoy solving complex challenges, this opportunity offers both autonomy and global collaboration.AccountabilitiesDevelop, train, and optimize scalable deep learning models for brain decoding and AI-driven neuroscience applications.Collaborate closely with research scientists and cross-functional teams to advance generative modeling and representation learning initiatives.Improve and maintain machine learning pipelines, ensuring high performance, scalability, and reliability across distributed environments and GPU systems.Contribute to research activities, including experimentation, hypothesis testing, technical documentation, and participation in conferences or scientific publications.Maintain high standards of software engineering, automation, code quality, and reproducibility across projects.Identify technical bottlenecks and implement innovative solutions to improve workflows, infrastructure, and model performance.Support the deployment and adaptation of AI models across diverse computing environments and evolving business needs.RequirementsBachelor’s degree in Computer Science, Mathematics, Physics, Statistics, Neuroscience, Informatics, or another quantitative discipline.3+ years of professional or research experience in machine learning, deep learning, or AI engineering.Strong programming skills in Python and hands-on experience with machine learning frameworks such as PyTorch.Solid understanding of supervised, self-supervised, semi-supervised, and generative deep learning techniques.Proven ability to design experiments, evaluate models scientifically, and derive data-driven conclusions.Experience handling large or unstructured datasets with strong analytical and problem-solving capabilities.Excellent collaboration, communication, and organizational skills in cross-functional and remote environments.Familiarity with tools and libraries such as Hugging Face, Transformers, Diffusers, or Accelerator is highly valued.Experience working with generative models, large language models, or neural data such as EEG, fMRI, or MEG is considered a strong advantage.PhD-level research experience and publications in leading AI or neuroscience conferences are a plus.BenefitsFully remote work environment with global collaboration opportunities.Work on cutting-edge AI and neuroscience technologies with real-world impact.Exposure to advanced research initiatives in deep learning, generative AI, and brain-computer interfaces.Opportunity to collaborate with leading experts in AI, fintech, and decentralized technologies.Fast-paced, innovation-focused culture with significant autonomy and ownership.Career growth opportunities within a rapidly evolving international organization.Flexible and globally distributed work environment that values transparency, innovation, and continuous learning.How Jobgether WorksWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best! Why Apply Through Jobgether?Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role OverviewWe are looking for a knowledgeable and engaging Trainer to deliver program across Artificial Intelligence, Financial Technology, and Regulatory Technology. This is a flexible, multi-programme role — you will work across different client engagements and audience types, from banking professionals and compliance teams to regulatory staff and executive cohorts. The ideal candidate brings real industry experience in these areas, not just theoretical knowledge, and can make complex topics feel practical and relevant to the people in the room.Key ResponsibilitiesDeliver training sessions across AI, FinTech, and RegTech topics in both in-person and virtual settingsAdapt content, pace, and delivery style to suit different audience backgrounds and experience levelsFacilitate workshops, discussions, and applied exercises that connect concepts to real financial services scenariosAssess participant progress through knowledge checks and exercises, and provide constructive feedbackShare post-session observations with the program team to help improve content and delivery over timeStay current with developments in AI, FinTech innovation, and financial regulation to keep delivery fresh and credibleRequired Qualifications & ExperienceAt least 8 years of professional experience in one or more of: AI/machine learning, data science, FinTech, RegTech, or compliance technology within financial servicesAt least 3 years of training or facilitation experience with professional audiencesSolid understanding of FinTech business models — Open Banking, digital payments, embedded finance, eKYC, and platform/API ecosystemsFamiliarity with RegTech tools and concepts — automated compliance, regulatory reporting, and data privacy frameworksExperience working with or delivering for financial regulators, central banks, or government-linked institutions is a strong advantageExcellent communication skills with the ability to explain technical and regulatory topics clearly to non-technical audiences

About VantariVantari is a technology-driven company specialising in advanced solutions for aerospace, defence, and high-tech engineering. We work across key frontiers such as space and defence systems, wireless and 3GPP technologies, hardware and system engineering, software development, cyber security, and artificial intelligence. By partnering with leading organisations building next-generation platforms, we’re able to offer candidates opportunities to contribute to meaningful. When you work with Vantari, you’re supported by a team that understands deep-tech roles and is committed to helping you grow your career in a space where innovation truly matters.Responsibilities:Develop and deploy AI/ML models for real-world applications.Work with large language models (LLMs) and build AI-driven solutions.Design and implement intelligent agents and automated workflows.Integrate AI systems with internal platforms and external APIs.Build scalable and secure AI infrastructure.Apply machine learning and NLP techniques to improve products.Analyze structured and unstructured data to generate insights.Contribute to AI strategy and technical roadmaps.Collaborate with cross-functional teams in an agile environment.Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow).Work across the full AI lifecycle (development to deployment).Adapt to new technologies and solve complex technical challenges.Requirements:Background in Computer Science, Mathematics, Statistics, or related field.Hands-on experience in AI/ML, data science, or data engineering with at least 10+ years of experience.Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).Experience building end-to-end AI/ML solutions from development to deployment.Solid understanding of machine learning, deep learning, and data analysis techniques.Ability to quickly adapt to new domains and solve complex problems.Background in aerospace, defence, robotics, or advanced engineering is preferable.

The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.Plays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.

What's the opportunity? 🚀Our client is a fast-growing AI company working directly with governments and public institutions on some of the most complex policy and societal challenges in the world.They build AI products that shape how businesses and countries think about economic development, education, employment and workforce strategy. This is a rare opportunity to join a mission driven organisation at a pivotal moment and help define AI products that have real world impact at country scale.The role 💡They are looking for a Product Manager to take ownership of their core AI and data platform and lead the development of new modules from the ground up.This is a high ownership role working closely with senior leadership, data scientists and government stakeholders to define product vision, strategy and execution across a platform that is already live and evolving fast.You will operate at the intersection of:AI and data platform developmentGovernment and public sector environmentsComplex data science and simulation modellingEnterprise and institutional product deliveryThis is not a role for someone who wants to manage an existing roadmap. You will be defining it.What you'll be doing ⚙️Owning the product vision and strategy for the AI and data platform across multiple national deployments.Defining the roadmap across:Data ingestion and structuring of complex government datasetsForecasting models and AI simulationsAnalytical and decision support tools for policymakersNew modules built entirely from scratch including employer platforms and B2B deploymentsLeading deep customer and stakeholder discovery with government institutions, universities and enterprise clients.Working closely with data scientists on models, simulations and pipelines to translate complex outputs into intuitive user facing products.Partnering directly with senior government stakeholders and institutional decision makers.Driving products from early validation through to launch and scale across new markets and countries.Defining success metrics and iterating based on data, feedback and real world outcomes.Leading and mentoring a small team of associate product managers.About you 🧠You are a Product Manager who thrives in ambiguous, high impact environments where you are building something that has never existed before.5 plus years in product management ideally including experience in data driven or AI products.Proven experience building data or AI platforms from scratch in complex environments.Strong understanding of data pipelines, modelling, analytics and AI or ML workflows.Deeply analytical with the ability to work closely with data scientists and translate complex outputs into clear product decisions.Comfortable working with government or institutional stakeholders and navigating regulated environments.Experience taking products from early stage through to live deployment at scale.Strong strategic thinking with the ability to define vision and execute in a fast moving, resource constrained environment.Excellent communication skills with the ability to present to senior stakeholders and C level leadership.Comfortable operating with significant autonomy and taking full ownership in a small high impact team.Why join them? 🫂You will be working on products that directly influence national policy, workforce strategy and economic development across multiple countries.This is an opportunity to:Build AI products that operate at country scale and have genuine societal impactWork at the frontier of AI applied to economics, labour markets and public policyShape both the product and the direction of a fast growing organisationDo more in 12 months than you would in two to three years in a structured corporate environmentThe team offers genuine autonomy, fast decision making and the chance to work on problems that do not have clear answers yet.What they offer 💰Competitive salary plus bonusHigh ownership and autonomy from day oneFlexible and remote friendly working environmentThe opportunity to build products that operate at national scale across multiple countriesA genuinely mission driven team working on problems that matterIf you are energised by the idea of building AI products that shape how countries make decisions and want real ownership in a fast moving environment, this could be exactly the right next step. 🎯

AI Workflow Engineer On-site | Abu Dhabi AppliedAI Co is a fast-growing Enterprise AI SaaS company delivering mission-critical AI solutions to large-scale enterprise clients across the region and globally. We operate at the intersection of advanced AI, robust cloud infrastructure, and enterprise-grade reliability — and we're building the team to match our ambition.We are seeking an AI Workflow Engineer to join our growing team. In this technical, customer-facing role, you will deliver, implement, and support AI-powered workflow automation solutions tailored to client needs. You’ll work closely with one of our key strategic partners, collaborating on joint client projects and integration initiatives. This role may require occasional travel to client and partner sites (both local and international) to support project delivery, onboarding, and training. Key Responsibilities: Technical Solution DeliveryLead the technical implementation and configuration of our AI workflow automation platform for customers and partners.Design, build, and deliver PoCs and pilot projects that showcase the value of AI-powered workflows.Integrate our solutions with third-party systems (APIs, web services), focusing on seamless data flow and interoperability.Integrations & APIsWork hands-on with APIs, data connectors, and middleware to enable integration with ERP, CRM, and other enterprise platforms.Troubleshoot and resolve integration issues, quickly diagnosing and addressing technical challenges.Partner & Customer InteractionCollaborate closely with our strategic partner’s technical and project teams on joint solutions and client engagements.Engage with customer technical teams to understand their environments, integration needs, and business processes.Support onboarding, technical training, and enablement sessions for client and partner teams.Travel for project delivery, onsite workshops, and partner collaboration.Documentation & HandoverPrepare clear technical documentation, integration guides, and handover materials for both customers, partners, and internal teams.Internal CollaborationRelay customer and partner feedback to Product and Engineering, helping to drive product improvement.Stay current on trends in AI, workflow automation, and enterprise system integration.What We’re Looking For:Proven technical background in AI, machine learning, workflow automation, or related fields.Strong hands-on experience with system integrations and APIs (REST, SOAP, webhooks, etc.).Experience integrating with enterprise platforms (ERP, CRM, HR, finance systems, etc.) is highly desirable.Ability to work directly with partner and customer technical teams—solving problems and building trust.Excellent troubleshooting, documentation, and communication skills.Organized, proactive, and comfortable managing multiple projects in a fast-paced startup environment.Willingness and ability to travel as required for client and partner engagements.Eagerness to learn, share, and grow with the team.Bonus Points:Hands-on integration experience with major ERP or CRM platforms (e.g., SAP, Oracle, Microsoft Dynamics, Salesforce, etc.).Familiarity with workflow orchestration engines.Coding or scripting skills (Python preferred).Experience delivering technical workshops or training sessions.Knowledge of security and compliance best practices in integrations.What We Offer:Opportunity to shape the marketing analytics strategy at a leading AI company.Exposure to cutting-edge AI/ML applications in real-world business contexts.Collaborative, innovative, and growth-driven work environment.Competitive compensation, benefits, and career advancement opportunities.

Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale! We operate at the intersection of ecological & environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI & ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we’re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.If this mission resonates with you, let’s talk.🔹What is the role?We’re building our product development team from the ground up and are looking for highly talented, self-driven Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets.📍Relocation to the UAE is required – generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.🔹 Your responsibilities will include:• Act as senior/staff-level individual contributor to own the development of analytical and predictive models for Nabat’s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.• Research, develop, train, validate, refine and deploy models that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.Some of the problems you might be working on using satellite and drone imagery:▫️ land use/cover classification▫️ identification of plant native and invasive species▫️ estimating carbon stock and biodiversity▫️ modeling and predicting the outcome of different restoration scenarios▫️ creating optimal flight paths for multi-drone seeding operations▫️ detecting ecosystems at risk▫️ measuring plant-level growth metrics▫️ high-throughput phenotyping, and so on.• In close collaboration with software and data engineers, design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).• Communicate and collaborate cross-functionally with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.• Knowledge transfer from and continuous engagement with researchers (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research & development roadmap for your domain.🔹 What are we looking for?• A strong research/academic foundation with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.• Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain, including:▫️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)▫️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance▫️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution▫️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain▫️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders▫️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)▫️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results▫️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure▫️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production• Builder/entrepreneur mindset: You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.• Communication excellence: You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.• Bias for action and execution: You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.• Problem-solving aptitude: You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.• Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.🔹Why join Nabat?A once-in-a-lifetime opportunity toJoin a well-funded early-stage tech startup at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology & agricultural science.Design, build and shape a product from the ground up using your unique skills and expertise Work with a truly international and world-class R&D team both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (https://www.atrc.gov.ae/), Technology Innovation Institute (https://www.tii.ae/), and VentureOne (https://www.ventureone.ae/) ecosystem.Relocate to Abu Dhabi – one of the safest, most livable, expat-friendly cities in the world - with an “all inclusive” relocation package for you and your family, that includes work & residence visa sponsorship, relocation flights, orientation tour, school and house search, and hotel stay until you find your new home.Make a real and direct impact to solving the most critical challenges of our time – climate change and ecosystem loss!🔹What is the hiring process like?We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:Initial screening call with a member of our Talent team to ensure expectations and experience aligns.First interview with hiring manager about the role and ask questions – Taha Ghaznavi, Chief Product Officer, Nabat.Second interview with technical team member(s) to assess your capabilities. Might include a coding test and/or small case study.Third interview with a senior leader to assess culture fit and give you opportunity to meet your future stakeholders.Hiring decision and conditional offer.Background check and final offer.Relocation to the UAE and onboarding!Apply with your CV and tell us what makes you & your experience a great fit for Nabat.

Job DescriptionAbout AI71:AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.The RoleAs a Senior Machine Learning Engineer at AI71, you’ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.What Youll DoModel Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.What Youll Bring:Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.5+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.Proven experience with Large Language Models (LLMs) and parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.) techniques.Strong proficiency in programming languages like Python. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).Experience in building and deploying LLM-powered applications using FastAPI/ Flask and Streamlit for front-end interfaces, solid understanding of REST principles, HTTP Methods, websockets and API lifecycle management;Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and libraries like Langchain, Langgraph, LlamaIndex.Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search.Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams. Why AI71:Mission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.Unparalleled Opportunity: This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.Job DetailsRole Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://ai71.ai/ Job Function: Data Science & AI Company Industry/Sector: Technology Information and InternetWhat We OfferAbout The CompanySearching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.ReportDisclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.

About Robotic ImagingRobotic Imaging – FZCO is a Dubai-based technology company specialising in 3D laser scanning, AI development, and design services. Scanning buildings with LiDAR is our core business — we capture sites every week and convert the resulting point clouds into Revit and CAD deliverables for architects, engineers, and contractors worldwide. We operate from IFZA Business Park in Dubai Silicon Oasis, with collaborating teams in the United States, India, and Pakistan.The OpportunityWe are hiring an AI/ML Engineer to lead the development of software that automatically generates accurate 2D floorplans — and ideally 3D building elements — directly from raw point cloud data. Today, this conversion is largely manual, with modelers spending days tracing walls, openings, and fixtures. Solving this is the single highest-leverage problem in our business, and the successful candidate will own it end-to-end, reporting directly to the CEO.Key ResponsibilitiesDesign, prototype, and productionise a pipeline that converts point cloud data (.e57, .las, .rcp, .pts) into usable floorplan outputs (DWG, DXF, IFC).Evaluate and combine approaches across classical geometry (RANSAC, Hough transforms, slice-based extraction) and modern deep learning (PointNet++, KPConv, RandLA-Net, Point Transformer).Explore the use of vision and multimodal LLMs fine-tuned for AEC-specific tasks where appropriate.Build training and evaluation pipelines using our in-house library of real-world point clouds and validated ground-truth BIM models.Benchmark model accuracy against manual deliverables and iterate toward production-grade reliability.Collaborate daily with our scanning and modeling teams to refine requirements and validate outputs.Document architecture, methodology, and results clearly for both technical and non-technical stakeholders.Required Qualifications4+ years of hands-on experience in computer vision, 3D deep learning, or geometric processing.Strong proficiency in Python with NumPy, PyTorch or TensorFlow, Open3D, and PCL.Demonstrated production experience with 3D data (point clouds, meshes, voxel grids) — not just tutorials or coursework.Proven ability to own a model end-to-end: data preparation, training, evaluation, and deployment.Comfortable working on-site in Dubai and collaborating across multiple time zones.Preferred Qualifications (Major Plus)Prior experience with AEC formats and tools (IFC, DWG, Revit API) and scan-to-BIM workflows.Background in photogrammetry or reality capture.Published research or open-source contributions in 3D vision or geometric deep learning.Why This Role Stands OutDirect reporting line to the CEO — fast decisions, no bureaucracy.Access to a large, continuously growing library of real-world LiDAR point clouds paired with validated ground-truth models. You will not be hunting for training data.You will be building the product, not a feature inside someone else's product.Open to either full-time employment or a senior contractor engagement for the right candidate.Compensation & Benefits (Full-Time)AED 24,000 – 28,000 per month, based on experience.UAE employment visa and Emirates ID, fully sponsored by the Company.DHA-compliant health insurance from day one.30 days annual leave plus all UAE public holidays.End-of-service gratuity in accordance with UAE Federal Decree-Law No. 33 of 2021.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.ResponsibilitiesDesign, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflowsCollaborate with backend engineers and data scientists to integrate AI-driven features into our platformsCollaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricingImprove AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecastsStay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy spaceMonitor the performance of AI tools and models, ensuring they are functioning efficiently and effectivelyRequirementsMinimum 3 years of engineering experienceProven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learningStrong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into productionSolid understanding of cloud technologies, containerisation and building scalable AI applicationsAbility to integrate AI/ML models into real-world applications, focusing on usability and performanceStrong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environmentExperience working with large datasets, particularly in relation to demand and supply forecastingBonusExperience or strong interest in energy markets and trading strategiesUnderstanding of weather forecasting, energy demand patterns, and production modellingExposure to Natural Language Processing (NLP) or other related fieldsBenefitsCompetitive salary and an equity sign-on bonusBiannual bonus schemeFully expensed tech to match your needsPaid annual leaveBreakfast and dinner allowance for office based employees

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleThe Product team shapes the experiences that power Revolut. They turn complex problems into simple, scalable solutions — collaborating across Design, Engineering, and Data to build features our customers love.We’re looking for an Applied AI Lead who knows how to take responsibility over the roadmap of their product, including day-to-day operations, project execution, and addressing risks. From conception to launch and beyond, you’ll collaborate cross-functionally and communicate with senior management to be the go-to person for your product.Up to shape what's next in finance? Let's get in touch.What You'll Be DoingOwning the product vision, strategy, and roadmap for AI-powered solutions, leveraging LLMs and other machine learning technologiesCollaborating closely with Data Scientists and Software Engineers to deliver impactful solutionsLeading cross-functional teams to build and deploy NLP and AI solutions, such as AI assistants and AI automation platformsSetting your team's goals, success metrics, and roadmap to align with company goalsDelivering measurable results for sophisticated products under ambiguous situations in a fast-paced environmentWhat You'll NeedExperience developing and launching AI products/features from scratch High analytical and technical acumen, along with solid business sense and problem-solving skillsExperience in a data science or machine learning roleExperience owning machine learning projects, from design to implementation and iterationGreat Python, SQL, or other programming language skillsHands-on experience with deep learning libs (TensorFlow, Keras, PyTorch, etc.)Knowledge of version control, model deployment, and developer environmentsEvidence of impressive mathematical and statistical knowledgeAn entrepreneurial drive to never settleBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice

Senior AI EngineerFinancial ServicesDubai, United Arab EmiratesPermanent RoleWe are looking for a Senior AI Engineer to come and help one of our clients boost internal capability through various AI solutions. The company are limited to AI expertise so we are looking for someone is used to leading these initiatives.The personA well rounded engineer with experience implementing AI across corporate workstreams. You must be able to sit with different departments, understand their needs and use their benchmarks to provide suitable solutions.The experienceAI-driven tools and applicationsAgent buildsExperience with the latest LLM'sClaude, Gemini, ChatGPT, CopilotPrompts, recommendations, search analysis, bots etc.Microsoft AI ecosystem Integrate AI through API'sMSc in AI or relevant STEM is preferredThe packageIndustry leading salaryPremium medical insuranceHousing loansBonusVisaRelocation assistance if moving from overseas (Flights, hotel stay etc.)If you feel you have the experience needed for this role please apply now with your CV so we can arrange a confidential discussion.**Due to the high number of applicants, only profiles with the above skillset will be contacted**

Our time to make ripples.We are for the restless achievers. For those who thirst for success and more. For those who never stop trying. We are Masafi. And if you have what it takes, we are ready to take the next step with you.Things we believe in:Inclusivity & diversityWe are an equal opportunity employer, and we believe diversity, gender balance and inclusion lead to success.Our peopleWe believe passionate people propel us forward, build our culture and drive our spirit of innovation.Hard work, integrity & ownershipWe believe hard work trumps everything. And honesty and taking total responsibility are the pillars of everything we do.A glimpse of your typical workdayThe Data Manager will play a strategic and leadership role in establishing trusted, governed, and business-ready data across the Hattan Group. The role is responsible for building a single source of truth, improving data quality across operational systems, and enabling accurate reporting, analytics, and data-driven decision-making.This role will also prepare the organization for future adoption of Machine Learning (ML) and Artificial Intelligence (AI), enabling operational efficiency, customer insights, and enhanced digital experiences across all brands and business units.The Data Manager will work across business and technology teams to establish a strong data culture, governance framework, and scalable data architecture aligned with enterprise strategy.Data Governance & OwnershipDefine, implement, and maintain enterprise data governance framework across the organization.Establish clear data ownership and stewardship across business domains and legal entities.Define and enforce data policies, standards, naming conventions, and business definitions.Maintain governance artefacts, standards, and documentation in GDT SharePoint and knowledge repositories.Data Architecture & Platform StrategyOwn and design end-to-end data architecture covering operational systems, integration layers, data platforms, and analytics environments.Design and manage centralized data repository and enterprise analytics platforms.Work closely with Enterprise Solution Architect to ensure alignment with enterprise architecture standards.Lead adoption and optimization of modern data platforms including Microsoft ecosystem technologies such as:Analytics & Reporting EnablementDeliver enterprise reporting and analytics capabilities supporting leadership and business operations.Standardize dashboards, KPIs, and reporting frameworks across brands and business units.Enable self-service analytics capabilities while maintaining governance and data consistency.Partner with Digital and Business teams to deliver actionable insights and performance analytics.Business & Cross-Technology CollaborationPartner with Enterprise Applications, Digital, Infrastructure, and Security teams to ensure alignment of data requirements.Work closely with business stakeholders to understand data needs and priorities initiatives.Translate business requirements into scalable and sustainable data solutions.Security, Privacy & ComplianceEnsure data management practices comply with regulatory, privacy, and internal security policies.What makes you stand outMinimum 10+ years of experience in data management, data architecture, or enterprise analytics roles.Proven experience implementing enterprise data governance frameworks.Experience designing and delivering end-to-end enterprise data platforms.Hands-on experience with Microsoft data ecosystem preferred (Fabric, Azure Data Services, Dataverse, Power BI).Experience working within ERP and enterprise application environments (Oracle, D365, or equivalent).Experience supporting multi-brand, multi-entity, or distributed business environments is highly desirable.Experience preparing organizations for advanced analytics, ML, or AI adoption is preferred.The joys:Workspace: We mix work and play with an exclusive gym and an inspiration zone filled with indoor games, library, bean bags and of course, piping hot coffee.Game-changing leadership: We mentor and hone future leaders through agile, dynamic and people-focused training.Enriching rewards: Besides bench-marking industry remuneration, we offer medical benefits and discounts on all Masafi products.Focus on wellness: We not only insist on a great work-life balance but also accompany it with a lovely wellness program.Our storyMasafi was born in the Hajar Mountains in the United Arab Emirates. And ever since, we’ve left a mark across the region and the world.Back in 1976, Masafi was the first naturally sourced drinking water in the UAE. Today, our portfolio consists of the finest range of pure naturally sourced water, juices, tissue papers and anti-bacterial essentials.While we have been the market leader for over 4 decades, we never take anything for granted. Every day, we work harder to deliver the finest products that are good for people and the planet too.We are an equal opportunity employer. Inclusivity, diversity and gender balance are the cornerstones of our business just like, wellness, mindfulness and a healthy work-life balance.Interested in growing your career with us? Take a look at some of our current openings. We can’t wait to hear from you.

We are looking for a Senior AI engineer who has good experience in building AI Agents. You will work on retail banking projects for 1.5 million customers. Good experience in deployment and architecture is essential. Role Designing and building Generative AI applications using Large Language Models (LLMs) Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks Implementing RAG architecture with vector databases Knowledge of embeddings, vector DBs, and model evaluation. Implement various Context Engineering strategies to reduce Token Utilization & Latency. Prompt engineering, tool calling, memory management, and agent orchestration Integrating AI services with enterprise APIs, middle ware, and backend systems Evaluated & Improvise AI Agent Performance using several metrics Deploying scalable AI solutions on Azure / AWS cloud platforms

Job DescriptionThe role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.Job Description - Grade SpecificPlays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.

At a Glance: 📣 Position: Sr. Manager – Data Analytics & Business Intelligence 👫 Team: Commercial Growth 📍 Location: Dubai, UAE 📄 Contract: Full-time 🏢 Type: On-site 💷 Benefits: Competitive package with performance-based incentiveAbout Us 🥇At Idealz Holding, we’re redefining retail through our one-of-a-kind “Shop & Win” model — transforming everyday purchases into exciting, reward-driven experiences 🎉. With operations across 4 continents and a rapidly scaling global customer base, data sits at the core of how we drive decisions, optimize performance, and unlock growth.As we scale, we’re investing heavily in data, analytics, and AI-driven decision-making — and we’re looking for a leader who can help shape that future.Role Description 📝We are seeking a commercially driven, technically strong, and forward-thinking Sr. Manager – Data Analytics & BI to lead our analytics function and evolve it into an AI-enabled, insight-driven growth engine.This is a hands-on leadership role — you will define the strategy, build frameworks, and still dive into data, dashboards, and models. You will also play a key role in introducing and scaling AI and advanced analytics capabilities across the business.What You’ll Be Doing ✅Define and lead the data analytics, BI, and AI strategy aligned with business and growth objectives.Build and scale dashboards, reporting frameworks, and data models across marketing, product, and operations.Translate complex data into clear, actionable insights that drive decision-making at all levels.Partner with marketing, product, finance, and leadership to embed data-driven and AI-assisted decision-making.Own and evolve KPI frameworks, business performance tracking, and executive reporting.Lead performance marketing analytics, attribution, and customer lifecycle insights.Identify opportunities to leverage AI/ML models for personalization, forecasting, segmentation, and automation.Drive experimentation frameworks (A/B testing, predictive analytics) to unlock growth.Establish data governance, quality standards, and scalable analytics best practices.Lead and mentor a team of analysts, while remaining deeply hands-on with tools and execution.Work closely with engineering and data teams to enhance data infrastructure and enable advanced analytics use cases.Skills & Qualifications 🧩10–12 years of experience in data analytics, business intelligence, or data strategy roles.Proven experience leading analytics in e-commerce, marketplaces, or consumer tech environments.Strong hands-on expertise in SQL, Excel, and BI tools (Tableau, Power BI, Looker, or similar).Solid understanding of data modeling, ETL processes, and data warehousing concepts.Experience with AI/ML applications in business contexts (e.g., segmentation, recommendation systems, forecasting, automation).Strong understanding of performance marketing analytics, attribution models, and customer lifecycle metrics.Ability to translate complex data into business impact and influence senior stakeholders.Experience managing teams while staying close to execution.Builder mindset with a balance of strategy, ownership, and hands-on delivery.The Process ➡️ 1️⃣ Initial screening with Global Head of HR 2️⃣ Interview with Head of Strategy / Growth 3️⃣ Technical + analytics / AI case study 4️⃣ Interview with Senior Leadership 5️⃣ Final interview with CEO ⏱️ Process typically concludes within 4–6 weeksWhy Join Idealz ⁉️At Idealz Holding, data is a core growth driver — and AI is the next frontier. You’ll have the opportunity to build, scale, and modernize the analytics function, shaping how data and AI power decisions across the business.If you’re a data leader who thrives at the intersection of analytics, strategy, and emerging technology — and still loves getting hands-on — this is your opportunity to create real impact at scale 🚀.

Role OverviewWe are seeking a Lead Machine Learning Engineer to design, build, and scale production-grade machine learning systems. This role combines deep hands-on ML engineering with technical leadership, owning the end-to-end lifecycle of ML solutions from research and prototyping through deployment and monitoring.The Lead ML Engineer will work closely with product, data, platform, and engineering teams to deliver robust, scalable, and responsible ML-powered capabilities across the organization.Key Responsibilities• Lead the design and development of machine learning models and ML-driven systems• Own end-to-end ML pipelines, including data preparation, training, evaluation, deployment, and monitoring• Translate business and product requirements into practical ML solutions• Architect and maintain scalable, production-ready ML systems• Establish ML engineering best practices, standards, and review processes• Mentor and technically guide ML engineers and data scientists• Collaborate with backend, platform, and DevOps teams on system integration and deployment• Ensure model performance, reliability, security, and responsible AI practices• Continuously evaluate and improve models using metrics, monitoring, and feedback loopsMachine Learning & Technical Scope• Design and train models using supervised, unsupervised, and deep learning techniques• Experience with frameworks such as PyTorch, TensorFlow, or equivalent• Strong understanding of feature engineering, model evaluation, and experimentation• Experience deploying models into production environments (APIs, batch, or streaming)• Familiarity with MLOps practices, including CI/CD for ML, model versioning, and monitoring• Experience working with large-scale datasets and distributed training where applicableRequired Qualifications & Experience• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field• 7+ years of professional experience in machine learning or applied AI roles• Strong programming skills in Python; familiarity with data processing libraries• Proven experience deploying and maintaining ML models in production• Solid understanding of software engineering principles and system design• Experience working cross-functionally with product and engineering teamsPreferred Experience• Experience leading or mentoring ML engineers• Familiarity with cloud platforms (Azure preferred; AWS or GCP acceptable)• Experience with containerization and orchestration (Docker, Kubernetes)• Exposure to NLP, computer vision, recommender systems, or large language models• Experience in regulated or production-critical environments

Role: Senior AI Engineer Location: Dubai My client is looking for an AI Engineer to help build autonomous agentic systems inside real enterprise environments.This is not a chatbot role. You’ll design and deploy AI agents that think, decide, and act across CRMs, databases, and internal workflows — shaping how the next generation of enterprise software behaves.What You’ll DoBuild and ship production-grade AI agents using modern orchestration stacks (n8n, Temporal, agentic frameworks).Design multi-agent architectures (planner–executor, memory, tool-using agents).Push RAG, embeddings, and vector search to ground decisions in real-time data.Integrate leading LLMs (OpenAI, Anthropic, Claude) with enterprise systems.Own the AI lifecycle end-to-end: prompting, evaluation, deployment, and monitoring.What My Client Is Looking For5+ years in applied ML, NLP, or AI systems.Strong hands-on experience with LLMs and agentic frameworks.Proven delivery of RAG pipelines and vector databases.Solid Python skills and enterprise software experience.A builder mindset — comfortable operating in ambiguity.Why JoinTop-tier compensation + meaningful equity.Best-in-class hardware, AI tools, and cloud credits.Flexible PTO and working hours.A high-ownership, high-impact environment building foundational AI.*** Only successful candidates will be contacted ***

AI Consulting Engineer (Senior/Lead) – Generative AI, Python, JavaScript, PyTorch, TensorFlow, LLMs, Machine Learning, Agentic Systems, Cloud, Consulting, Solutions Engineering, Abu Dhabi (UAE)This opportunity to open to candidates who are able and willing to relocate to Abu Dhabi, UAE.Very Attractive Salary + BenefitsThis is a fantastic AI Consulting Engineer (Senior/Lead) opportunity to work with a leading technology services organisation, driving AI solution design and implementation for key strategic customers.The AI Consulting Engineer (Senior/Lead) is an onsite working role, based in Abu Dhabi, UAE, with some flexibility to work remotely. This role is open to relocation to the UAE.As an AI Consulting Engineer (Senior/Lead), you will play a crucial consultative, deployed role, supporting key strategic customers in the design and implementation of cutting-edge AI solutions. The AI Consulting Engineer (Senior/Lead) will have excellent knowledge of programming languages such as Python and JavaScript, as well as Machine Learning libraries such as PyTorch and TensorFlow, with experience in building LLMs and agentic systems. Demonstrated hands-on experience with generative AI models such as GPT, Claude, Gemini, DALL-E, Stable Diffusion, etc is expected as an AI Consulting Engineer (Senior/Lead). Credible experience in a customer-facing, consultative software engineering role is essential as an AI Consulting Engineer (Senior/Lead), with excellent communication and stakeholder management skills, able to work cross-functionally with Technical, Sales and Product teams.Key Skills as AI Consulting Engineer (Senior/Lead):3+ years’ experience in software engineering, ideally focused on AI/ML development.Excellent programming knowledge in Python and/or JavaScript.Experience using ML libraries/frameworks such as PyTorch, TensorFlow, etc.Experience building LLMs and agentic systems (desirable)Sound AI software market knowledge.Experience in client-side engagement and technical consultancy.Solution-led, entrepreneurial attitude.Excellent communication and stakeholder management skills.Ability to create value in complex technical environments.This is an exceptional AI Consulting Engineer (Senior/Lead) opportunity, with exciting opportunities to support critical AI transformation projects for key strategic customers.Key Skills: Generative AI, Python, JavaScript, PyTorch, TensorFlow, LLMs, Machine Learning, Agentic Systems, Cloud, Consulting, Solutions Engineering, Abu Dhabi (UAE)*PLEASE READ BEFORE APPLYING*Previous experience in customer-facing, deployed engineer role is essential, with a passion for and strong knowledge in generative AI models, such as GPT, Claude, Gemini, DALL-E, Stable Diffusion, etc. This role is based onsite in Abu Dhabi, UAE (relocation to UAE is considered).

Halian is hiring an AI Engineer in Abu Dhabi.Greetings!Experience required: 6+ YearsDuration:1 Year & extendableTechnical Skills:5+ years Python development; 2+ years in production AI/ML engineering.Deep LangGraph or equivalent agentic framework experience: graph topology, state management, conditional edges, checkpoint-based recovery.LLM evaluation expertise: F1 measurement, Expected Calibration Error (ECE), hallucination detection, confidence calibration.Prompt engineering at scale: versioned prompts, sensitivity analysis, few-shot dataset curation.RAG architecture: hybrid retrieval (BM25 + vector), re-ranking, chunk citation, grounding verification.Azure AI Foundry or equivalent LLM inference platform: token budget management and APIM integration.Workflow orchestration: Orkes Conductor or Temporal — HITL wait tasks, retry policies, compensating transactions.CI/CD pipeline integration for ML: Azure DevOps, MLflow experiment tracking, model registry promotion.Bachelor's degree in Computer Science, AI/ML, or equivalent; Master's preferred.Preferred QualificationsComputer vision model deployment and evaluation experience.Azure AI Document Intelligence: form recogniser, custom models, layout analysis.Kubernetes / AKS: workload identity, namespace isolation, KEDA autoscaling.Banking domain knowledge: cheque clearing, trade finance, KYC, AML.Azure AI Engineer Associate or equivalent certification.Demonstrable production AI deployments with case studies or public work

About AI71:AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.The Role:As a Senior Machine Learning Engineer at AI71, you’ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.What You'll Do:Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.What You'll Bring:Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.5+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.Proven experience with Large Language Models (LLMs) and parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.) techniques.Strong proficiency in programming languages like Python. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).Experience in building and deploying LLM-powered applications using FastAPI/ Flask and Streamlit for front-end interfaces, solid understanding of REST principles, HTTP Methods, websockets and API lifecycle management;Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and libraries like Langchain, Langgraph, LlamaIndex.Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search.Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams. Why AI71:Mission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.Unparalleled Opportunity: This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation.We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide.You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction.Up to break barriers and shape what's next for the future of Revolut’s AI-driven capabilities? Let's get in touch.What You’ll Be DoingBuilding AI-driven features from scratch, like personal assistants, chatbots, copilots, and moreDeveloping user-focused and backend features using deep learningDelivering impactful, scalable, data-driven AI solutionsCollaborating with Product, Engineering, and Data teams to solve deep learning challengesIntegrating cutting-edge AI technologies to drive innovation at RevolutWhat You'll NeedExperience in deep learning within natural language processing area and large language modelsA bachelor's degree in a STEM major (mathematics, computer science, engineering)Excellent knowledge of data science (Python, SQL) and production toolsA deep understanding of probability and statistics fundamentalsBig-picture thinking to correctly diagnose problems and productionise researchExcellent communication and collaboration skills to partner with Product Owners and business headsNice to haveA master's or PhD in a quantitative disciplineSolid experience with additional programming languages, such as Java, Scala, C++Experience at a large tech company worth >$15BSchool/university Olympic medal competitions in physics, maths, economics, or programmingBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice

Müller's Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization.Key Responsibilities:Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoMLCollaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirementsConduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrityImplement and optimize AI workflows that facilitate real-time data processing and inferenceStay updated on the latest advancements in AI and machine learning technologies to continuously improve our offeringsProvide technical guidance and support to teams on best practices for using Google Cloud AI servicesDocument AI project implementations, model performance evaluations, and ongoing maintenance proceduresContribute to developing educational materials and training sessions on AI capabilities for staff and stakeholdersMonitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectivenessRequirementsRequirements:Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud PlatformProficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn)Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoMLStrong knowledge of data preprocessing, feature engineering, and model evaluation techniquesAbility to work with large datasets, utilizing BigQuery or similar data processing toolsExcellent problem-solving skills and a strong analytical mindsetCapable of communicating complex technical concepts to diverse audiences effectivelyPreferred Qualifications:Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plusExperience with MLOps practices and tools for model deployment and managementFamiliarity with DevOps practices as they relate to AI and machine learningA background in statistics or applied mathematics is desirableBenefits1- Attractive Package.2- Family Benefits.3- Visa.4-Air Tickets.

We’re Hiring: Senior AI Engineer📍 Location: Saudi Arabia- Dammam 🗣 Languages: Arabic + English (must)We are looking for a Senior AI Engineer to design, build, and deploy advanced AI solutions.This role blends hands-on engineering, modern AI development, and strong customer collaboration.Key Responsibilities Work closely with customer teams to understand goals and shape high-value AI use cases.Design and deploy end-to-end AI solutions including agentic AI, Generative AI, and predictive ML.Build AI agents using frameworks like LangGraph, CrewAI, or LlamaIndex.Act as a technical expert, guiding clients on AI best practices, MLOps, governance, and scaling.Communicate complex technical outcomes clearly to both technical and non-technical stakeholders. AI & Machine Learning Expertise Strong Python skills using libraries such as pandas, NumPy, scikit-learn, etc.Practical experience with LLMs, Generative AI workflows, and vector databases.Solid understanding of agentic AI development and lifecycle management.Experience designing predictive models for real business use cases.Ability to build scalable, high-performance AI pipelines.Application Development & OperationsExperience building REST APIs using frameworks like FastAPI or Flask.Strong skills in containerization with Docker and deployment on Kubernetes.Understanding of secure coding practices, authentication, and secrets management.Ability to deploy ML and GenAI solutions into production environments.Comfortable leading technical discussions with customers in a consulting setup. Customer & Problem-Solving SkillsExperience in client-facing roles with excellent communication skills.Ability to present technical concepts to executives, business teams, and engineers.Strong problem-solving mindset with the ability to manage complex challenges.Passion for exploring new technologies and improving AI solution quality.Ability to work across diverse industries and business needs.Minimum Qualifications6–8 years of hands-on experience in AI engineering, ML engineering, or software development.Master’s degree or PhD in Computer Science, AI, Statistics, Engineering, or similar.Experience with AWS, Azure, or GCP cloud environments.Familiarity with MLOps concepts like CI/CD, monitoring, and model governance.Experience deploying AI or ML applications into production environments.Years of Experience6–8 years of hands-on experience in AI engineering, ML engineering, or software development.Languages:· English. Excellent communication, verbal and written skills.You are looking for a great opportunity to be part of an amazing challenge, with great development possibilities ? This job is for you !!!About KLANIK:Klanik is an IT consulting company providing solutions to some of the world’s largest industrial and services groups for 14 years. We support our clients with the creation and development of their new products and services around 4 main business lines:➜ Information Technology and Systems (IT & IS)➜ DevOps and Cloud➜ Big Data and AI➜ CybersecurityKlanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas.Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.We’re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!Being a “KLANIK”That means being an out of the box thinker, a precursor who is keen to create, innovate and collaborate in an environment where you can enjoy being yourself and valued for your ideas. It’s being part of a community of experts that have a passion for and stay abreast of the latest technologies.You feel like a technology pioneer, full of creative ideas, supported by a strong know how and expertise in the latest technologies? We believe you could be a good fit to our culture!Our culture is our prideAt Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect and transparency are deeply fixed in our culture, alongside with the pride in a job well done.Our community motto is that people give the best of them when they feel listened, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.Being part of the Klanik community means relying on each other’s, learning from each other’s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.

Key Result AreasProduct Strategy & RoadmapDefine the vision, strategy, and roadmap for AI products in alignment with organizational goals.Translate business needs into AI product requirements and prioritize features based on value and feasibility.Continuously assess market trends, customer feedback, and emerging AI technologies to inform product evolution.Backlog Management & DeliveryOwn and manage the product backlog, ensuring clarity, prioritization, and alignment with sprint goals.Collaborate with engineering and data science teams to ensure timely delivery of high-quality AI features.Define acceptance criteria and validate deliverables against business objectives.Stakeholder EngagementAct as the primary point of contact for business stakeholders, ensuring alignment on priorities and expectations.Communicate product vision, progress, and outcomes to executives and cross-functional teams.Facilitate workshops and demos to gather feedback and drive adoption.Governance & ComplianceEnsure AI products comply with internal governance frameworks, regulatory requirements, and responsible AI principles.Partner with AI Governance, Risk, and Security teams to embed controls for fairness, transparency, and explainability.Performance & Value RealizationDefine KPIs and success metrics for AI products; monitor performance and adoption.Drive continuous improvement through data-driven insights and user feedback.Knowledge, Skills And ExperienceEducation: Bachelor’s degree in Business, Computer Science, Data Analytics, or related field (MBA preferred).Preferred Experience8+ years in product management, with at least 3 years in AI/ML or data-driven products, orManagement consulting background with experience in strategy, operating models, and transformation programs, orStartup experience in AI or emerging tech, demonstrating agility and innovation mindset.Skills & ExpertiseStrong understanding of AI/ML concepts, model lifecycle, and data platforms.Experience with Agile methodologies, backlog management tools (e.g., Jira, Azure DevOps).Familiarity with AI governance, compliance, and ethical AI practices.Soft Skills: Excellent communication, stakeholder management, and ability to translate technical concepts into business value.

WE ARETransforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of data science, providing tons of experience and working with the best talents in the field.In the Data Science Center of Excellence, we contribute to a wide range of projects in different areas, domains, and technologies. The GenAI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate GenAI, AI, Data Analytics, MLOps, and Cloud infrastructure.IF YOU AREA holder of a Ph.D. or master's degree in computer science or a related fieldExperienced in Generative AI and natural language processing (NLP) techniques such as large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, and beyond)Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generationCompetent in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AIAdept at applying advanced deep learning techniques in practical scenariosWell-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical applicationsProficient in working with the latest pre-trained language models like GPT-4, BERT, and their subsequent iterations, including fine-tuning for specific tasksAware of the software development lifecycle of AI projects, machine learning operationalization processesExperienced with AI solutions deployment to the main cloud providersHands-on with Python and TensorFlow or PyTorchHands-on with Azure AI Foundry, Azure OpenAI, Azure AI Services, and cloud-native AI solution developmentExperienced with agent frameworks such as Microsoft Agent Framework, OpenClaw, Databricks agentic capabilities, LangChain, LangGraph, or similar technologiesKnowledgeable in building scalable multi-agent workflows, including agent routing, orchestration, tool usage, memory management, context persistence, and handoff protocolsStrong in LLM system design and instruction architecture, including system message design, few-shot structuring, reasoning patterns, behavioral guardrails, and safe tool-use policiesPossessing strong interpersonal, analytical, and problem-solving skillsEasily translating complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily understandCapable of maintaining business communication in English at the upper-intermediate levelAND YOU WANT TOWork with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in productionChoose relevant computational tools for study, experiment, or trial research objectivesDrive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniquesDevelop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applicationsProduce clear, concise, well-organized, and error-free computer programs with the appropriate technological stackPresent results directly to stakeholders and gather business requirementsDevelop expertise in state-of-the-art Generative AI techniques and methodologiesGrow your skill set within a dynamic and supportive environmentWork with Big Data solutions and advanced data tools in cloud platformsBuild and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insightsLead teams of data scientists and software engineers to successful project executionTOGETHER WE WILLMaintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environmentsDrive innovation in the realm of Generative AI and Language Models, contributing to groundbreaking projects that redefine AI-powered content generationCommunicate with the world-leading companies from our logos portfolioEnjoy the opportunity to work with the latest modern tools and technologies on various projectsParticipate in international events and get certifications in cutting-edge technologiesHave access to powerful educational and mentorship programsRevolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertiseSoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.

Competitive Salary, Plus BenefitsCharterhouse is working with a specialist AI consultancy based in the UAE that partners with enterprise clients to deliver and implement cutting-edge Generative AI solutions. As part of continued growth, they are looking to expand their delivery team with the addition of a Principal AI/ML Engineer.The Principal AI/ML Engineer will take ownership of architecting and delivering intelligent AI solutions and workflows, leveraging Python, PyTorch, and modern generative AI frameworks to build production-grade solutions. The role involves fine-tuning models using approaches such as LoRA, qLoRA, and full fine-tuning, optimising prompts, embeddings, and retrieval strategies, and building and deploying retrieval-augmented generation (RAG) solutions. The Principal Engineer will also oversee and contribute to developing custom pipelines for document ingestion, chunking, embedding generation, and retrieval, working with vector databases and RAG evaluation frameworks.Beyond model development and deployment, the role also requires a strong understanding of AI performance and deep learning optimisation. The Principal Engineer will profile and benchmark AI workloads across hardware platforms, experiment with model compression techniques including quantization, pruning, and knowledge distillation, and bring a working knowledge of how deep learning frameworks such as PyTorch and TensorFlow behave at a lower level. Given the complexity of enterprise AI deployments, hands-on experience deploying and optimising AI workloads across GPU, TPU, or NPU infrastructure is strongly preferred.The ideal candidate will bring strong software engineering foundations including testing, debugging, documentation, and version control, alongside experience with MLOps tooling such as ClearML, Kubeflow, or MLflow and data analysis libraries including Pandas, NumPy, and SQL.A strong foundation in large language models (LLMs) is essential for this role, with the ideal candidate bringing hands-on experience across multiple LLMs and a solid understanding of how different models can be applied and optimised for domain-specific use cases.

Principal Data & AI | Dubai (DIFC) | Fully On-Site*no relocation package is provided with this position*We are looking for a Principal Data & AI to join our client on-site in Dubai. The MissionYou will oversee the end-to-end data development lifecycle: from ingestion and transformation to the productionalization of LLM-based solutions. Currently, the client is anchored in SAP HANA, but they are embarking toward a cloud-native future. We need a leader who can manage the current infrastructure while architecting the next generation of the data platform.What You’ll DoArchitecture: Evolve the cloud data architecture to support real-time analytics and ML/AI use cases.Engineering: Maintain robust ETL/ELT pipelines (dbt, Python, SQL) and implement sophisticated web scraping solutions.AI Enablement: Partner with Data Scientists to move LLM experiments into production-grade feature stores and agents.Governance: Enforce data quality and security (IAM, encryption, auditing) across the platform.We are searching for a candidate with the below: 10–12 years of total experience in Data Engineering/Architecture. (with 3–4 years of experience in a supervisory or lead role, with a proven ability to hire and grow teams)Strong expertise in SAP HANA / SAP HANA Cloud (HANA modeling, Calculation Views, SDI/SDA).Deep, hands-on experience with BOTH Snowflake AND Databricks, alongside a strong proficiency in AWS or Azure.Proven experience building and implementing LLM-based solutions, Generative AI, and intelligent agents.Experience hiring, mentoring, and developing world-class data engineering talent.Experience communicating directly with the CEO and key stakeholders. (You can explain complex technical roadmaps to non-technical executives with clarity and confidence)Holds a Bachelor’s or Master’s degree in Computer Science, Math, Statistics, or a related field.

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.We’re looking for a Python Engineer who can write high-quality code and build automated solutions for heavily regulated financial systems.As part of the AI team that's driving innovation and powering products, you'll be developing the core infrastructure behind our central platform that empowers our scientists and engineers to solve tomorrow's challenges today.Up to shape what's next in finance? Let's get in touch.What You'll Be DoingImproving GPU utilisation and performance across large-scale workloadsEnsuring low-latency, high-throughput predictions in production environmentsDesigning, building, and maintaining scalable services that support the AI lifecycleBuilding the core infrastructure behind AutoDL, enabling automated training and deployment of ML modelsDeveloping infrastructure and APIs that integrate third-party services and grow with the businessImplementing and managing robust CI/CD pipelines to validate, deploy, and monitor a diverse range of modelsEstablishing the backbone for AI governance and reproducibilityDesigning systems for real-time inference on high-load ML use casesBuilding scalable pipelines for event-driven data (e.g., behavioural, transactional streams)What You'll NeedExperience with deep learning in production, including inference optimisation and working with transformer-based models or similar DL architecturesHands-on experience with GPU-heavy workloads (memory management, performance tuning for large-scale models)A degree in a STEM subject or equivalentA solid foundation in computer science principlesA track record of designing and operating scalable backend systems in production environmentsProficiency in Python as your primary language, with command of additional programming languagesExpertise in distributed systems and modern infrastructure practices, like containerisation and orchestrationBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice

JOB TITLEAI Engineer | Holding | Corporate Strategy & TechnologyRole SummaryAn AI Engineer designs, builds, and deploys scalable AI/ML systems that enable data-driven decision-making and automation across the organization. They bridge the gap between data science experimentation and production, ensuring models are efficient, reliable, and integrated into business systems. The role focuses on operationalizing machine learning and generative AI solutions with strong performance, security, and governance standards.ROLE PROFILEDesign and develop end-to-end AI solutions, from model training pipelines to deployment environments, ensuring scalability, performance, and reliability.Build APIs, microservices, and integration layers to embed AI models within business systems, data platforms, or digital products.Design and operate MLOps frameworks for model lifecycle management including CI/CD for ML, automated testing, and deployment orchestration.Establish model governance controls, ensuring proper versioning, documentation, and rollback procedures.Collaborate with infrastructure and DevOps teams to ensure secure, compliant, and cost-optimized environments for AI workloads.Work closely with data platform teams to integrate feature stores, vector databases, and data lakes for AI model consumption.Integrate enterprise data sources with LLMs using retrieval-augmented generation (RAG) techniques and embeddings.Support AI use case delivery squads by designing reusable components, shared pipelines, and standardized deployment frameworks.RequirementsBachelor’s or master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.4–8 years of professional experience in software or data engineering, with at least 3 years focused on AI/ML engineering or MLOps.Demonstrated experience delivering production-grade AI systems, integrating models into business applications, or managing enterprise-scale ML infrastructure.Hands-on experience in building applications using modern AI frameworks (TensorFlow, PyTorch, scikit-learn) and supporting tooling (MLflow, Kubeflow, Airflow).Experience with inference optimization techniques (quantization, model compression, distillation) and serving platformsFamiliarity with DevOps principles, infrastructure as code (Terraform, Helm), and security standards for AI environments are beneficial.What We OfferAt Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!Work in a friendly environment, where everyone shares positive vibes and excited about our future.Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

About us:Where elite tech talent meets world-class opportunities!At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.About the Client:Join one of Egypt's premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.RequirementsRole OverviewWe are seeking a Lead Data Scientist (Fintech / Banking) with 8+ years of experience to drive advanced analytics, machine learning initiatives, and data‑driven decision‑making across our fintech/banking product ecosystem. The ideal candidate has a strong track record of leading high‑performing teams (5-10 members), delivering scalable ML solutions, and operating with high agility in fast‑paced environments.Key ResponsibilitiesLeadership & StrategyLead, mentor, and grow a team of 5-10 data scientists and ML engineersDefine the data science roadmap aligned with business, product, and engineering goalsDrive end‑to‑end ownership of ML models — from ideation to deployment and monitoringCollaborate with cross‑functional stakeholders (Product, Engineering, Risk, Compliance, Business)Technical ExecutionBuild and optimize predictive models for credit risk, fraud detection, customer segmentation, churn prediction, and personalizationArchitect scalable ML pipelines using modern data platformsConduct exploratory data analysis, feature engineering, and model validationEnsure model governance, fairness, explainability, and regulatory compliance (especially in BFSI)Operational ExcellenceChampion agile methodologies, rapid experimentation, and iterative deliveryImplement best practices in versioning, CI/CD for ML, and model monitoringTranslate complex data insights into clear, actionable business recommendationsRequired Skills & Experience8+ years of hands‑on experience in Data Science, ML, or Applied AIProven experience leading teams of 5-10 in high‑velocity environmentsStrong background in fintech, digital banking, payments, lending, or risk analyticsExpertise in:Python, SQLML frameworks (TensorFlow, PyTorch, Scikit‑Learn)Cloud platforms (AWS, GCP, Azure)MLOps tools (SageMaker, MLflow, Kubeflow, Airflow)Deep understanding of statistical modeling, supervised/unsupervised learning, NLP, and time‑series forecastingExperience working with large‑scale data pipelines and distributed systemsStrong communication skills with the ability to influence senior stakeholdersHigh agility, ownership mindset, and a positive, collaborative attitudePreferred QualificationsExperience in credit scoring, fraud analytics, or regulatory‑grade model developmentExposure to real‑time decisioning systemsPrior experience in startups or high‑growth fintechsWhat We OfferOpportunity to lead high‑impact data science initiatives in a rapidly scaling fintech environmentCross‑functional ownership and autonomyCompetitive compensation and performance‑based rewardsCollaborative, innovation‑driven culture

About The TeamOpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.Our customers range from fast growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission.About The RoleThe Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform.You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.This role is based in Abu Dhabi. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.In This Role, You WillLead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realizationOwn account health, adoption velocity, and ongoing technical deployment and success across your portfolioConduct technical enablement and configuration sessions across our broad product portfolio Identify and validate use cases by embedding with customer teams to understand workflows and pain pointsLead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planningBuild strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilitiesTranslate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIsPartner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomesGuide value realization and measure impact through baselines, KPI definition, and post deployment reportingFacilitate workshops on use case design, adoption best practices, champion building, and internal enablementHelp drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of businessServe as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.You’ll Thrive In This Role If You8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, or deep technical enterprise adoption workDeep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologiesAre comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challengesHave excellent project and program management instincts and can lead multi workstream initiatives with clarity and structureEnjoy being a thought partner for C level stakeholders while also diving deep with technical teamsOperate with high ownership and can manage fast decision making, context switching, and dynamic customer needsHave a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholdersAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job DescriptionThe role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.Job Description - Grade SpecificPlays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.

AI EngineerLocation: Abu Dhabi, UAE | Type: Permanent, Full-TimeWe recently had a brand new and exciting opportunity for an AI Engineer to join a telecommunications Defence Tech company based in Abu Dhabi. The AI Engineer will be designing and implementing production grade AI models to integrate with Oracle EBS.If you are a AI Engineer who has a strong software engineer background using Python, AI (LLMs & RAG) alongside on-prem ERP integration experience then this would be the perfect next step for you.Requirements for the AI Engineer:Experience designing and implementing AI models (LLMs, RAG & Predictive Analytics)Expertise in creating and maintaining APIs using PythonMust have on-prem ERP experience, preference is Oracle EBSMust be based in the UAE already or keen to relocateSalary - 25k-28k AED per month + UAE comprehensive benefits.Apply now to be considered for this great opportunity!

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.Job DescriptionAs the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.As a Sr. AI Scientist on the global AI hub, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.ResponsibilitiesLeveraging ambiguous business problems as opportunities to drive objective criteria using data.Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.Designing and implementing effective and impactful machine learning and generative AI systems in production.Developing a deep understanding of the product experiences and business processes that make up your area of focus.Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.Working closely with product and business teams to identify important questions that can be answered effectively with data.Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.Designing, planning, and analyzing experiments (A/B and multivariate tests).Supporting product and business managers with KPI design and goal setting.Mentoring other data scientists in their growth journeys.Contributing to improving our ways of working, our tooling, and our internal training programs.QualificationsRequirementsTechnical ExperienceExperience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).Excellent SQL.Competence with reproducible data analysis using Python or R.Familiarity with data modeling and dimensional design.Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.Familiarity with BigQuery and the Google Cloud Platform is a plus.Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.QualificationsBachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.5+ years of experience working in data science, machine learning, and Gen AI.Experience doing data science in an online consumer product setting is a plus.A good problem solver with a ‘figure it out’ growth mindset.An excellent collaborator, and communicator.A strong sense of ownership and accountability.A ‘keep it simple’ approach to #makeithappen.

Experience: 4-5+ YearsEmployment Type: Full-TimeHiring Partner: FlatgigsClient: Confidential AI Research & Innovation LabAbout The OpportunityFlatgigs is hiring AI Engineers for a confidential R&D-focused AI lab working across video, text, and audio problem spaces.This is not a typical "apply a model and ship" role.This is a research-driven environment where problems are not clearly defined, and solutions are not obvious.You will spend time: Exploring Experimenting Failing Iterating And eventually solving problems that don't have playbooks If you need structured tasks and predictable outputs — this role will frustrate you.If you enjoy going deep into problems and figuring things out from first principles — this is where you'll thrive.What You'll Work On Solve complex AI problems across: Video understanding and processing Text-based AI / NLP systems Audio processing (nice to have, not mandatory) Design, experiment, and iterate on AI models and approaches Work on problems that may not have clear starting points or predefined solutions Explore multiple approaches before arriving at optimal solutions Contribute to research-driven experimentation and innovation What We're Looking ForCore Requirement 4-5+ years of experience in AI / Machine Learning This level of experience matters because it typically brings exposure to multiple AI domains, not just one.Multi-Modal Exposure (Important) Experience across at least two of the following areas: Video Text (NLP / LLMs) Audio (bonus) 👉 Candidates limited to only one vertical may struggle in this environment.R&D Experience (Critical) Prior experience working in research or experimentation-heavy environments Exposure to: Prototyping Testing hypotheses Iterative experimentation Experience contributing to: Research initiatives Internal innovation projects Publications (nice to have, not mandatory) Problem-Solving Depth Ability to go beyond "making things work" and instead: Understand why something works or fails Debug deeply at the model or system level Explore multiple approaches before finalizing a solution Ideal Candidate Profile Curious by nature — asks "why" more than "what" Comfortable working in uncertain, ambiguous problem spaces Enjoys experimentation and is not discouraged by failure Thinks in terms of systems, patterns, and root causes Has a tinkerer mindset — explores beyond surface-level fixes What Success Looks Like You are able to approach open-ended problems without predefined solutions You explore multiple directions instead of settling for the first working solution You contribute to building deep understanding, not just outputs You can work across different AI problem types without becoming a bottleneck Nice to Have Research papers, publications, or contributions to open-source AI projects Experience with: Multi-modal models LLMs and advanced NLP Computer vision systems Audio processing systems Why This Role Work on open-ended, high-impact AI problems Opportunity to explore across multiple AI domains Be part of a true R&D environment, not just product delivery Freedom to experiment, fail, and learn Hiring Approach This is an ongoing hiring effort, not tied to a fixed headcount Quality matters more than speed or volume Strong candidates are hired continuously as they are identified Confidentiality NoteThis opportunity is being managed by Flatgigs on behalf of a confidential client. Client details will be shared with shortlisted candidates during the hiring process.

The AI Engineer Lead will be responsible for leading the development, deployment, and optimization of artificial intelligence solutions across the organization. This role will oversee AI initiatives, manage technical teams, and ensure AI systems are aligned with business objectives and operational requirements.The ideal candidate should possess strong expertise in AI technologies, machine learning, and system integration, along with proven leadership capabilities.Key ResponsibilitiesLead the design, development, and implementation of AI and machine learning solutions.Manage and mentor AI engineers and technical teams.Develop and maintain scalable AI models and applications.Collaborate with business stakeholders to identify AI opportunities and requirements.Oversee model training, testing, deployment, and performance monitoring.Ensure integration of AI solutions with existing systems and platforms.Optimize AI models for accuracy, scalability, and efficiency.Research and implement emerging AI technologies and best practices.Ensure compliance with data security, governance, and ethical AI standards.Support automation and digital transformation initiatives across the organization.Qualifications & ExperienceBachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.Minimum 5–8 years of experience in AI engineering, machine learning, or software development.Proven experience leading AI projects and technical teams.Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Experience with APIs, cloud platforms, and system integration.Strong understanding of machine learning, deep learning, NLP, and generative AI concepts.

Role OverviewWe are looking for an AI Engineer with strong AI coding capabilities to join our team. This role focuses on translating real business requirements into working code and business logic by leveraging AI technologies and multiple technical approaches. The ideal candidate is not limited to a single tool or framework and is able to flexibly apply different methods to deliver effective, scalable solutions.Key Responsibilities• Design and implement AI‑driven solutions based on real business needs, transforming AI capabilities into production‑ready code and business logic.• Demonstrate strong AI coding skills, using AI technologies (including but not limited to large language models, intelligent agents, automation tools, etc.) to improve development efficiency and system capabilities.• Select and combine multiple tools, techniques, and approaches (e.g. LLM APIs, traditional algorithms, rule‑based logic, automation scripts) rather than relying on a single solution.• Participate in backend and service‑side development, designing and implementing core system logic as required.• Work closely with frontend developers when necessary to ensure end‑to‑end feature delivery.• Embed AI capabilities into existing business workflows to improve efficiency, reduce manual effort, and enhance intelligence across systems.• Collaborate closely with product, business, and engineering teams to deeply understand business logic and convert it into reliable, scalable technical solutions.• Continuously explore, evaluate, and apply new AI tools and technologies in appropriate business scenarios.Requirements• Strong proficiency in Python, with solid programming fundamentals and clean coding practices.• Proven AI programming experience, including applying AI models or AI‑assisted development tools to solve real‑world problems.• Hands‑on experience with backend development and a solid understanding of system architecture and data flow.• Business‑oriented mindset, with the ability to understand requirements beyond pure technical implementation.• Strong learning ability and problem‑solving skills, capable of quickly adopting new tools and methodologies.• Good communication skills and a collaborative team attitude, with strong execution and ownership.

Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.This role is part of TII’s Robotics Research Center.Position Overview We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs), Vision-Language Models (VLMs), and agentic model architectures. The ideal candidate will have a strong foundation in both research and engineering, with hands-on experience developing, fine-tuning, and deploying advanced AI systems. You will contribute to building scalable, production-ready AI applications, integrating multimodal reasoning, and pushing the boundaries of autonomous intelligent agents.Key Responsibilities LLM/VLM Development & Integration: Design, train, fine-tune, and optimize LLMs and VLMs for real-world Agentic AI Systems: Develop and orchestrate autonomous agent frameworks capable of multi-step reasoning, planning, and tool use. Engineering & Deployment: Build scalable, low-latency inference systems for large models using frameworks like DeepSpeed, vLLM, TensorRT, or ONNX Runtime. Implement distributed training, model parallelism, and efficient inference pipelines; also optimize deployment for edge devices, GPUs, and cloud-based platforms. Research & Innovation: Stay up to date with the latest advancements in LLMs, multimodal models, and autonomous agents. Core Competencies AI/ML Expertise o Strong understanding of LLMs, VLMs, transformers, and multimodal architectures. o Experience with fine-tuning, LoRA/QLoRA, quantization, distillation, and evaluation. o Knoledge of neurosymbolic methodologi o Knowledge of reinforcement learning (RLHF, RLAIF) and alignment techniques. Agentic Frameworks o Experience with frameworks such as LangChain, LlamaIndex, AutoGPT, CrewAI, OpenAI Agents, Hugging Face Transformers/Agents. o Ability to design reasoning loops, memory systems, and multi-agent coordination. Development Tools & Libraries o Core AI frameworks: PyTorch, TensorFlow, Hugging Face, OpenAI APIs, DeepSpeed, vLLM. o Supporting tools: Weaviate, Pinecone, FAISS, Milvus (vector databases), Redis, Kafka. o Evaluation/monitoring: Weights & Biases, MLflow, TensorBoard, Evals frameworks. Programming Skills o Python – for AI research, prototyping, and deployment pipelines. o C++ – for performance-critical components, model inference optimization, and system integration. Systems & Infrastructure o Proficiency with Docker, and AI distributed training systems. o Strong knowledge of CUDA, GPU optimization, and high-performance computing. o Familiarity with cloud platforms (AWS, GCP, Azure) and edge deployment strategies. Qualifications Master’s, or PhD in Computer Science, AI/ML, Robotics, or related field. Proven track record of hands-on work with LLMs, VLMs, or agentic frameworks. Experience in productionizing AI systems at scale. Excellent communication and collaboration skills.Preferred (Nice-to-Have) Experience with reinforcement learning Background in robotics, simulation environments, or embodied AI. Publications in AI conferenceAt TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading internationalinstitutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in AI, advanced materials, autonomous robotics, cryptography, digital security, directed energy, quantum computing and secure systems.

About the CompanyLiquidity is the world's leading AI-powered private credit firm, pioneering a new standard in growth capital through a nexus of expertise in private credit and technology. With a global reach and regional depth across North America, Europe, APAC and MENA, Liquidity supports high-growth companies by deploying capital with speed, precision, and adaptability. Powered by proprietary decision science technology, Liquidity enables faster, more accurate investment decisions at scale.About the RoleLiquidity is seeking a highly technical and hands-on AI Product Manager to lead the design and delivery of AI-powered products across the full lifecycle — from data ingestion and modeling to user-facing applications. In this role, you will focus on building production-grade AI systems that power investment workflows, financial analysis, and decision-making. You will translate complex business problems in credit risk, deal structuring, and financial modeling into scalable AI-driven solutions, working at the intersection of Product, Data Science, and Engineering. You will collaborate closely with cross-functional teams to design and deploy AI-native experiences, including agent-based systems, decision support tools, and financial data platforms, ensuring high standards of accuracy, reliability, and usability.ResponsibilitiesDefine and deliver AI-native product experiences, including chat interfaces, agent-based workflows, automation, and decision support tools.Translate complex financial and investment problems into scalable AI systems and product solutions.Drive end-to-end product development across data pipelines, model layers, and application layers.Design and implement multi-agent or prompt-based systems across key workflows such as origination, diligence, and monitoring.Build and maintain structured representations of financial data and products.Own the quality of AI outputs, ensuring accuracy, explainability, and reliability in production environments.Collaborate closely with Data Science, Engineering, and business stakeholders to align on product goals and execution.Debug and resolve issues across the stack, including data, model performance, and user experience.Lead the development of AI assistants, financial data mapping systems, risk scoring engines, and simulation tools.Balance speed and precision in delivering high-impact solutions within a financial context. Qualifications5–10 years of experience in Product Management with strong technical depth.Strong understanding of LLMs, including prompting, RAG, evaluation, and hallucination mitigation.Solid knowledge of data pipelines (ETL, APIs) and structured vs. unstructured data systems.Familiarity with machine learning fundamentals, model behavior, and evaluation metrics.Experience working with financial, analytical, or data-intensive systems is strongly preferred.Proficiency in SQL or data querying and experience with API-based integrations.Ability to design high-level system architecture across data, models, and product layers.Strong problem-solving skills with the ability to debug across data, model, and UX layers.Experience working closely with Data Science and Engineering teams in production environments.Background in fintech, analytics platforms, or AI-driven products is a strong plus.

As an AI Researcher at Vatic Labs in Abu Dhabi, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods to discover and capitalize on trading opportunities.The nature of the problems we work on is challenging, hence we hire some of the world's top AI talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists has been recognized as leaders in their field. Our distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth.If you possess all or most of the following, we would love to explore what is available for you with our team:Earned or will earn a Master's or Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary.Ability to generate impactful research in academic or professional pursuits.Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.Interest and enthusiasm for learning about financial markets (previous experience not required).At Vatic, we're serious about our work—but we also believe in balance, growth, and having fun along the way. Here's what you can expect:Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.Comprehensive health benefits – Full health insurance coverage for employees and dependents.Daily meals provided – Enjoy free lunch at the office.

About UsThe Smarter Way to Invest in Residential Real Estate - Powered by AI.At Smart Bricks, we empower investors to make faster, smarter, and more informed decisions with 99% less effort. By leveraging AI, machine learning, and computer vision, we analyze 100x more data points and properties than the average investor—uncovering more and better investment opportunities.Designed by real estate experts, for real estate investors.Proudly backed by NVIDIA, Microsoft, 500 Global, and leaders from Zillow, Airbnb, OpenAI, and others.Role OverviewThe Data Scientist will play a pivotal role in developing and optimizing data-driven models that power Smart Bricks' innovative real estate solutions. This hands-on role involves working with large datasets, building predictive models, and collaborating closely with cross-functional teams to embed advanced data science solutions into our platform.Key ResponsibilitiesDesign and implement machine learning models, including predictive and automated valuation models (AVM), to support our AI-driven platform.Conduct exploratory data analysis to identify patterns and insights from diverse real estate data sources.Collaborate with engineering and product teams to integrate and deploy machine learning models into production.Monitor model performance and continuously refine algorithms to enhance accuracy and scalability.Contribute to Smart Bricks' data strategy by staying up-to-date with the latest advancements in data science and real estate technology.Requirements5+ years of experience in data science or machine learning, preferably within real estate, Finttech, or a related field.Proven expertise in building and deploying machine learning models for production, including regression, classification, and time-series forecasting.Strong knowledge of Python, R, SQL, and machine learning frameworks such as TensorFlow or PyTorch.Experience with data visualization tools and libraries (e.g., Tableau, Matplotlib, Seaborn) to present insights effectively.Ability to communicate complex technical concepts to non-technical stakeholders.Excellent problem-solving skills and an innovative mindset.Why Join Us?Shape the Future of Real Estate: Be at the forefront of transforming the real estate industry with AI solutions that simplify property investment.Collaborative Environment:Work with a passionate team of innovators focused on solving complex real estate challenges.Professional Growth: Join a fast-growing startup where you'll have the opportunity to make a significant impact.Flexible Work Environment: We value work-life balance and offer flexible working arrangements.Mission-Driven Impact: Contribute to making property investment decisions simpler, backed by some of the industry's leading investors.If you're passionate about building innovative products and excited to shape the future of real estate investing, we'd love to hear from you!

Job DescriptionKey Responsibilities Independently design and implement end-to-end AI, Generative AI, and agentic AI solutions, taking full technical ownership of architecture, development, deployment, and optimization. Architect and build frameworks for autonomous AI agents capable of planning, reasoning, and executing multi-step tasks using APIs, tools, enterprise systems, and external services. Develop robust integration patterns for LLMs, ML models, and agentic systems with enterprise applications, including databases, APIs, and legacy platforms, enabling intelligent tool-using agents. Hands-on model selection, fine-tuning, evaluation, and optimization for LLMs, transformer-based architectures, diffusion models, and other advanced AI models. Design advanced system components such as agent memory, reflection loops, vector stores, and long-horizon planning mechanisms to support scalable agentic intelligence. Work closely with cross-functional stakeholders to identify automation and augmentation opportunities, translating business needs into AI architecture and actionable solution designs. Implement strong governance, compliance, and Responsible AI controls, ensuring transparency, security, and safe deployment of all autonomous and generative systems. Define and operationalize monitoring, observability, and performance evaluation frameworks for continuous improvement of AI models and agentic systems. Drive cost optimization strategies across AI infrastructure, training pipelines, inference workloads, and cloud resource utilization. Ensure measurable value realization by validating that implemented AI solutions deliver tangible business impact and align with organizational objectives. Collaborate with the AI/ML engineering community and provide technical direction when needed, while maintaining personal hands-on ownership of core development activities. Education and Qualification Master’s degree (preferred) or Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. Advanced certifications or specialization in AI/ML architecture, cloud platforms, or generative AI technologies are a plus Certification in Databricks, Azure AI Engineer or Azure Data Scientist Associate 8-10 years of experience in AI/ML solution design and architecture, including at least 4+ years in Generative AI and agentic AI systems. Proven track record in architecting large-scale AI platforms, integrating LLMs, and designing multi-agent systems. Strong proficiency in Python and deep understanding of ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face Transformers). Expertise in LLMs (e.g., GPT, Claude, LLaMA), vector databases, and prompt engineering strategies. Hands-on experience with agentic frameworks (e.g., LangChain Agents, AutoGPT, OpenAgents, CrewAI) and orchestration of autonomous agents. Deep knowledge of planning, reasoning, and decision-making architectures for autonomous systems. Experience in cloud-native AI architecture on Azure, including Azure ML/AI platform, Copilot Studio, and Azure Foundry. Strong background in containerization and orchestration (Docker, Kubernetes) for scalable AI deployments. Familiarity with reinforcement learning, symbolic reasoning, and neuro-symbolic AI approaches. Experience with real-time data processing, event-driven architectures, and MLOps best practices for production-grade AI systems.

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.The QA & Application Testing & Automation Engineer is responsible for the quality, resilience, and performance of the Bank's digital and core operational platforms. This role goes beyond traditional testing, focusing on the end-to-end validation of next-generation AI systems, mobile applications, and enterprise services. By building sophisticated automated frameworks and continuous testing pipelines, you will ensure that every release—from Conversational AI agents to core banking microservices—meets the highest standards of security, scalability, and reliability. You will act as a quality gatekeeper, collaborating across engineering and cybersecurity teams to accelerate deployment without compromising the Bank's integrity.Your responsibilities within this role include:Validate next-gen AI platforms (voice and chat) for accuracy, stability, latency, and safety; ensure AI-driven enterprise search avoids hallucinationsBuild and maintain reusable automation frameworks for web, mobile, and API integrations using Python, Selenium, or PlaywrightValidate RAG (Retrieval-Augmented Generation) pipelines, vector search quality, and grounding accuracy to ensure data retrieval performanceImplement automated quality checks for MLOps, including drift detection, retraining validation, and model registry integrityConduct scenario-based testing for operational AI agents (KYC, Risk, Compliance) and validate high availability and disaster recovery protocolsIntegrate automated quality gates into CI/CD pipelines to ensure continuous validation within containerized (Docker/Kubernetes) environmentsVerify that all AI engineering aligns with guardrails for fairness, security, explainability, and regulatory requirementsAs an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders. If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.RequirementsWe need you to have:A Bachelor's degree in Computer Science, AI, Software Engineering, or a related quantitative field. A Master's degree in AI/ML is highly preferredA minimum 5+ years in QA and Automation, preferably within a large-scale digital bank or a major digital transformation projectProven experience deploying AI/ML QA solutions at an enterprise scale, specifically in banking or financial servicesDeep knowledge of software testing methodologies (Functional, Regression, Security, and Non-functional)Proficiency in Python for test automation and expertise with tools like PyTest, Selenium, Playwright, and PostmanHands-on experience testing LLM response quality, prompt stability, and agentic orchestration workflowsStrong experience validating pipelines and storage services across Azure (AI Foundry) and AWS (SageMaker)Proficiency in load and stress testing using tools like JMeter or LocustExpertise in SQL and NoSQL test validation (Postgres, MongoDB, Cassandra) and data platform integrityIt would be beneficial if you also have:The ability to evaluate and integrate emerging AI testing tools such as LangChain, CrewAI, or BedrockExperience at acting as an "analytics translator" between technical teams and business stakeholders regarding quality risksAn understanding of cybersecurity principles in the context of AI safety and prompt injection preventionA proven ability to work within fast-paced squads to remove blockers and manage dependenciesBenefitsBenefits & Growth Opportunities:Competitive salaryVisa Sponsorship for the successful individual. Comprehensive health insurance for the successful individual. Professional development and certification supportOpportunity to work on cutting-edge AI projectsCareer advancement opportunities in a rapidly growing AI companyThis position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

OverviewResponsibilities:Experimentation and Prototype Development: Design, develop, and assess data-driven algorithms for various tasks (regression, classification, segmentation, etc.) using cutting-edge AI techniques.Prototype and evaluate LLM-based systems and multimodal models for tasks such as document understanding, knowledge extraction, and workflow automation.End-to-End Implementation: Hands-on implementation of AI models, from data preparation and cleaning to model deployment and maintenance in production.Integration of Pipelines: Contribute to the solution design and collaborate with teams to integrate AI-enabled software products for the oil & gas industry.Monitoring Model Performance: Evaluate and monitor AI solutions to ensure they align with project objectives, addressing data quality issues and continuously improving existing solutions.QualificationsRequirements – Experience At least 4 years of experience demonstrating depth and breadth in Computer Vision projects (classification, detection, segmentation) with CV approaches.Demonstrated experience with state-of-the-art machine-learning and/or deep-learning technologies.Demonstrated experience in developing, deploying and scaling end to end ML pipelines in industrial context.Hands-on experience building and deploying LLM applications (e.g., GPT, Llama, Falcon, Claude), including fine-tuning, RAG systems, domain adaptation, or multimodal extensions.Demonstrated experience designing and implementing agentic AI systems—task-oriented agents, workflow orchestrators, tool-using agents, or autonomous reasoning frameworks.Experience in Geoscience applications to the Oil & Gas sector is a plus.Requirements – Key SkillsStrong foundation in applied mathematics and statistics.Proficiency in machine learning and deep learning techniques.Advanced Python programming skills for AI development.Extensive experience with classic CV tools (OpenCV), deep learning frameworks (PyTorch, TensorFlow), and popular ML libraries (Scikit-learn).Comprehensive knowledge and practical application of diverse ML algorithms and DL architectures.Proficiency in essential development tools like PyCharm, Jupyter, ClearML, Git, and Docker.Strong knowledge of LLM frameworks and tooling (LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs).Proficiency in prompt engineering, evaluation frameworks, and structured prompt design.Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, or custom agent architectures).Autonomy in problem-solving and project execution, demonstrating the ability to work independently and in a team framework.Excellent communication skills for conveying technical concepts effectively.Educational RequirementsMaster’s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field.

A senior AI consulting opportunity is available in Abu Dhabi for a commercially sharp, client-facing professional who can open doors, shape opportunities, and turn business problems into compelling transformation agendas. The role sits at the intersection of strategy, advisory, and AI innovation, with ownership of the early-stage client narrative before solution design begins. Role overview This position is focused on front-end consulting rather than hands-on delivery. You will work with senior stakeholders to define where AI can create value, frame the right problems to solve, and help build the business case for change. The right person will be comfortable leading executive conversations, guiding opportunity shaping, and influencing decision-makers in complex enterprise environments. What you’ll doLead early-stage client discussions with senior business and executive stakeholdersAct as a trusted advisor to C-suite leaders on business challenges and value creation opportunitiesRun discovery workshops, executive briefings, and pre-sales conversationsDefine AI-enabled use cases, problem statements, and transformation prioritiesTranslate business needs into clear briefs for technical and delivery teamsShape proposals, value narratives, and executive presentationsBuild business cases, ROI stories, and investment recommendationsWork closely with technical specialists to align commercial intent with practical executionStay current on AI, GenAI, and digital transformation trends from a business impact perspective What you’ll bring10+ years in management consulting, strategy, or senior advisory rolesStrong experience in pre-sales, transformation, or client advisory workA track record of helping win proposals and influence executive approvalExcellent stakeholder management and facilitation skillsStrong commercial judgement and the ability to build persuasive business casesHigh executive presence, emotional intelligence, and polished communication skillsExposure to AI, data, digital, or advanced analytics initiatives is an advantageWhat’s on offerA high-profile role shaping AI-led transformation opportunitiesDirect access to senior decision-makers and strategic client conversationsA chance to work at the intersection of consulting thinking and AI innovationClose collaboration with expert technical teamsA fast-paced, collaborative environment in Abu Dhabi.

Join Tether and Shape the Future of Digital FinanceAt Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.Innovate with TetherTether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.But that’s just the beginning:Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.Why Join Us?Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.Are you ready to be part of the future?About the job:As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.You will have a deep expertise in LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance.Responsibilities:Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.Design, prototype, and scale innovative architectures to enhance model intelligence.Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.Investigate, debug, and improve both model efficiency and computational performance.Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

Position SummaryApplications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.New York University Abu Dhabi (NYUAD) seeks to appoint a Research AI Scientist reporting to Research Data Scientist II.This role will leverage cutting-edge machine learning techniques and contribute to advancing our AI capabilities. This role will be instrumental in developing algorithms that solve complex problems and enhance our product offerings, making a significant impact on our mission.Key Responsibilities Work with faculty and researchers through collaboration and support to advance their research work using AI (NLP, ML & CV) Conduct research on machine learning and artificial intelligence methodologies to develop novel algorithms that drive product innovation Design and execute experiments to validate hypotheses, analyze data, and derive actionable insights Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows Conduct training, engagement and outreach to the researcher and faculty community Qualifications Required Education: Master's Degree in computer science, Artificial Intelligence, Machine Learning, or a related field Preferred Education Doctoral Degree in a related field Required Experience Proficiency in programming languages such as Python and relevant libraries (e.g., NumPy, SciPy, scikit etc.) and experience with AI frameworks like TensorFlow or PyTorch Strong background in statistical analysis and data modeling techniques Deep understanding of machine learning algorithms and their applications Experience with data preprocessing, feature engineering, and model evaluation Strong coding skills in Python or similar languages, with experience in version control systems like Git Ability to develop applications using Machine Learning and Artificial Intelligence Ability to clearly communicate technical concepts to non-technical audience Ability to keep up to date with technological advances Ability to work in a team-based environment and contribute positively to it Ability to work on own initiative and as part of a team Ability to work with individuals at all levels and diplomatically manages their expectations Creative problem-solving abilities and initiatives Strong organizational skills Strong presentation and report writing skills Excellent communication, interpersonal and analytical skills are essential Ability to manage conflicting priorities in an effective and professional manner Preferred Experience Experience with large-scale machine learning systems and cloud-based solutions (AWS, Azure, GCP) Familiarity with reinforcement learning, natural language processing, or computer vision Demonstrated ability to work in a collaborative team environment and communicate complex concepts effectively Proficiency with popular GenAI tools and frameworks (e.g. OpenAI ChatGPT, Claude, Gemini, Llama) Experience at working at a research university HPC center is highly preferred Additional Information About NYUAD NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

An Sovereign AI venture in Abu Dhabi is building agentic AI products and are hiring exceptional software engineers for a high-performance team.Please do not blind-apply to this role. This is not a typical engineering role.The pace is fast, the expectations are real, and the work is meaningful. If you have strong opinions about code quality, a GitHub profile you're proud of, and a genuine curiosity about where AI is heading - read on.The RoleYou will design, build, and ship production-grade software as part of a team developing an agentic AI platform. You'll work across the full stack, engage directly with AI-driven workflows, and be expected to pick up new technologies quickly and run with them. What We're Looking ForStrong generalist engineering skills with a web technology foundationA GitHub profile that speaks for itself - active, well-maintained, and showing clear evidence of ownership and technical depthProven ability to ship real software, not just prototype itComfortable operating in a high-intensity, fast-iteration environmentGenuine interest in AI from a product and application perspective - prior AI experience is a plus, not a requirement What We Value Above Everything ElsePortfolio over credentials. We care more about what you've built than where you studied or what certifications you hold. Show us your work. Work ArrangementFull-time employee (hybrid, based in UAE), orService provider / contractor (fully remote, 6-month contract with extension potential)The stack is modern and evolving - TypeScript, React, NestJS, LangChain, vector databases, and desktop application frameworks among others. Familiarity is a bonus, but the right candidate can plug their gaps quickly. To ApplyShare your CV and, more importantly, your GitHub profile or portfolio. Applications without a code portfolio will not be considered.

AI Implementation Specialist Department: Technology / Operations Reports To: IT HEAD/ COO/CEO Employment Type: Full-Time ________________________________________ About the Role We are looking for a curious, tech-savvy, and proactive AI Implementation Specialist to help drive the company's AI and automation initiatives. This is a hands-on, execution-focused role where you will work closely with different teams to identify manual, repetitive workflows and transform them using AI-powered tools and automation. No team of your own to manage — just real impact through real projects. This is a great opportunity for someone early in their career who is passionate about AI and wants to be at the forefront of how businesses use it day-to-day. ________________________________________ Key Responsibilities AI Project Support & Execution • Assist in the planning, coordination, and execution of AI projects from kick-off to deployment. • Research and evaluate AI tools, platforms, and solutions that fit specific business needs. • Work with vendors and internal stakeholders to integrate AI tools into existing systems and workflows. • Document project progress, timelines, and outcomes to keep stakeholders informed. Workflow Automation • Conduct walkthroughs with department teams (Finance, Purchasing, Operations, Sales, Logistics, etc.) to understand and map out manual processes. • Identify tasks suitable for automation and propose practical AI-driven solutions. • Build and deploy automations using no-code/low-code tools such as Make (Integromat), Zapier, Microsoft Power Automate, or similar platforms. • Monitor and maintain deployed automations, troubleshooting issues and making improvements over time. AI Tools Adoption • Help onboard employees onto new AI tools through simple guides, walkthroughs, and hands-on support. • Act as an internal resource and first point of contact for questions related to AI tools in use. • Stay up to date on new AI tools and use cases, and share relevant findings with the team. Reporting & Documentation • Track key metrics such as time saved, error reduction, and adoption rates for implemented solutions. • Maintain clear documentation of all automations, integrations, and AI workflows. • Prepare simple reports and updates for management on project status and results. ________________________________________ Requirements Must-Have • 1–3 years of experience in a tech, operations, or process improvement role. • Hands-on experience with at least one automation or no-code tool (e.g., Zapier, Make, Power Automate, Notion AI, etc.). • Comfortable using and exploring AI tools (e.g., ChatGPT, Claude, Gemini, or similar). • Strong attention to detail and ability to document processes clearly. • Good communication skills — able to explain tech concepts simply to non-technical colleagues. • Self-starter attitude with a willingness to learn and figure things out. Nice-to-Have • Exposure to basic scripting or programming (Python, JavaScript) — not required but a plus. • Familiarity with project management tools (Asana, Jira, Notion, Trello). • Experience working across multiple departments or in a cross-functional environment. • Understanding of prompt engineering or working with LLM-based tools. ________________________________________ Success Metrics • Number of manual workflows successfully automated within the first 6–12 months. • Time savings and efficiency gains reported by teams using automated processes. • Employee adoption and satisfaction with AI tools introduced. • Quality and completeness of process documentation maintained. ________________________________________

We are looking for a Director / Head Senior ML Engineer Level 1 (Freelance) to join Shiventech Labs in Abu Dhabi. About the Role You will play a key role in building and scaling Data Engineering systems that drive real business value. Working alongside talented engineers and researchers, you will bring expertise in 25 years of experience to solve challenging problems. Key Responsibilities • Design, build and maintain Data Engineering solutions using 25 years of experience • Collaborate with engineering and product teams to deliver production-ready Data Engineering systems • Evaluate and integrate emerging tools and techniques relevant to 25 years of experience • Translate business requirements into robust technical implementations • Drive code quality, testing standards and documentation across the team Requirements • Proficiency in 25 years of experience • Strong communication skills and ability to work cross-functionally • Passion for Data Engineering and staying current with the