AI Jobs in Dubai

Job Purpose:We are looking for an AI Transformation & Execution Lead to accompany a telecom tower infrastructure company in defining, structuring, and implementing its global AI strategy.This role requires a hybrid profile: someone who understands business priorities, identifies high-impact AI opportunities, translates operational pain points into practical use cases, and drives execution with technical teams, business units, and leadership. The person will act as a bridge between executive strategy, operational realities, and AI implementation from brainstorming and use case discovery to roadmap definition, solution design, vendor coordination, and deployment follow-up. This is a hands-on transformation role, not a pure advisory or strategy position. The successful candidate will be expected to actively drive initiatives, coordinate implementation efforts, work closely with operational teams, and help move AI use cases from concept to deployment and adoption.Roles and Responsibilities1. AI Strategy & RoadmapSupport the company in defining its global AI vision and strategic priorities.Identify where AI can create measurable impact across TowerCo operations, finance, energy, field maintenance, asset management, customer/operator interfaces, and internal productivity.Structure AI initiatives into a clear roadmap: quick wins, medium-term projects, and strategic transformation programs.Help leadership prioritize use cases based on business value, feasibility, data availability, and operational readiness.2. Use Case Discovery & Business WorkshopsLead workshops with business, technical, finance, operations, and executive teams.Translate business pain points into concrete AI use cases.Challenge vague AI ideas and turn them into actionable, realistic initiatives.Help teams understand what AI can and cannot do, including risks, limitations, and required data foundations.Document use cases with clear objectives, expected benefits, required data, stakeholders, and implementation complexity.3. Solution Design & Execution SupportTranslate selected use cases into functional and technical requirements.Work with internal teams, vendors, and technology partners to design AI-powered solutions.Support the creation of prototypes, MVPs, pilots, and production deployment plans.Ensure AI solutions are aligned with real operational workflows, not just theoretical innovation.Follow up on execution, track progress, remove blockers, and ensure delivery remains connected to business objectives.4. AI Governance, Risk & AdoptionHelp define safe and responsible AI usage principles.Identify risks related to data privacy, hallucinations, automation, decision-making, and operational dependency.Support the creation of internal AI governance frameworks.Guide teams on human-in-the-loop workflows, validation processes, and progressive automation.Drive adoption by making AI understandable and usable for non-technical teams.5. Cross-Functional CoordinationAct as the link between executive leadership, business departments, IT, data teams, operations, finance, and external AI providers.Ensure all stakeholders are aligned on priorities, scope, expected outcomes, and timelines.Prepare executive presentations, strategy notes, workshop materials, implementation documents, and decision-support content.Support communication around AI transformation internally and externally.Required QualificationsEducationBachelor’s degree in Artificial Intelligence, Data Science, Information Technology, Engineering, Business Information Systems, or a related field.Master’s degree or relevant AI / Digital Transformation certifications is considered a strong advantage.Experience5-7+ years of professional experience across AI, technology strategy, digital transformation, product leadership, or telecom/infrastructure consulting.Minimum 4-5 years of hands-on experience with AI, data, automation, machine learning, or generative AI initiatives.Proven experience leading projects from discovery and business workshops to solution design, MVP/pilot execution, and production deployment follow-up.Experience working with C-level leaders and cross-functional teams in complex B2B or infrastructure environments.Prior exposure to telecom infrastructure, TowerCo, industrial operations, ERP/OSS environments, or field operations is considered a plus, but is not mandatory.Experience evaluating and coordinating AI vendors, platforms, system integrators, or technology partners is highly valuable.CompetenciesKey SkillsAI strategyGenerative AI and LLMsBusiness use case discoveryAI product designWorkshop facilitationOperational transformation and AI adoptionData and system integration awarenessExecutive communicationRoadmap planningAI governanceChange managementProject execution follow-upTechnicalStrong understanding of AI, generative AI, machine learning, automation, and data-driven decision-making.Ability to translate complex AI concepts into simple, business-friendly language.Ability to quickly understand operational environments and translate business problems into practical AI solutions.Strong business sense and ability to identify where AI can generate real ROI.Experience leading workshops, stakeholder interviews, and executive-level discussions.Hands-on and execution-oriented mindset with the ability to independently drive initiatives from idea to deployment.Ability to move from strategy to execution, not only provide high-level recommendations.Strong understanding of operational workflows, data requirements, system integration, and implementation constraints.Comfortable working with both technical teams and non-technical business leaders.Excellent communication, documentation, and presentation skills.Ideal BackgroundTech Founder, CTO, AI Engineer, AI product management, or digital transformation or applied AI implementation roles in B2B environments.Experience building and deploying AI products in B2B environments.Exposure to infrastructure, telecom, industrial, logistics, field operations, ERP/OSS systems, or other operationally intensive environments is beneficial.Experience with AI assistants, predictive models, optimization systems, agentic AI, LLMs, and automation platforms.Previous experience accompanying companies from ideation to pilot and production deployment.Expected Outcomes Build a clear and realistic AI transformation roadmap.Identify high-value AI use cases across departments.Launch practical pilots and MVPs.Move from isolated AI experiments to structured AI adoption.Improve operational efficiency, energy optimization, field productivity, finance automation, and decision-making.Establish safe, scalable, and business-aligned AI practices across the organization.

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

We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Regional Analytics Lead to evaluate and influence our growth strategy in Asia Pacific’s exciting and diverse landscape.You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.The Business Analytics team is part of Spotify’s core business strategy organization. You’ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe.At your fingertips, you’ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!What You'll DoDevelop data driven strategies to drive the growth of Spotify users and subscribersIdentify new user growth levers in the SAMEA region and use experimentation to help drive that growthCreate and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimizationBuild scalable data pipelines and dashboards to facilitate business performance trackingWork closely with business partners to understand the change they are driving and help them discover new opportunities for growthDesign and implement comprehensive tests, making sure that we track all relevant metrics and that we’re learning at every step along the wayPresent your findings to senior collaborators, influencing the course of our businessWho You AreYou have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQLExperience with distributed systems and cloud data platforms (BigQuery or GCP) is a plusExperience with AI tools (LLMs and coding assistants) is a plusIntellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the dataHave experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendationsHave a background in Economics, Computer Science, Statistics, Engineering or a relevant fieldComfortable working on a globally distributed team (with occasional international travel)Relevant experience in a consumer tech/product company is a plusWhere You'll BeThis role will be based at Spotify’s office in DubaiWe offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from homeWe 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. Find our AI notice here: https://lifeatspotify.com/ai-noticeToday, we are the world’s most popular audio streaming subscription service.

Job PurposeAt Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always ‘Fly Better.’ As one of the most recognised and admired brands globally, we’re driven by innovation and excellence. Join us as an Analytics & Insights Supervisor, and experience a fast-paced, multicultural environment where your ideas and expertise will help shape the future of aviation. Here, you’ll grow alongside professionals from diverse backgrounds, contributing to our shared success and making your mark on a global stage.As an Analytics & Insights Supervisor, you will be responsible to engage, enable, and support the Data Analytics Team in collecting, managing, and coordinating data assets that support Business Intelligence (BI) enablement and analytics projects across the business.In This Role, You WillDeployCollaborate with relevant business departments to assess, gather and document Data Asset requirements that are aligned with business objectives. Engage stakeholders collecting & validating requirements that enable prioritisation of projects & reference for Product Team.Work alongside the business to promote the capability of data assets & supporting adoption. LeadCollaborate with both Data Scientists, Governance, and Data Product Team to support them in their tasks and learn their roles and responsibilities within the team.Monitor and provide visibility of on-going projects to the leadership with appropriate recommendations or action plans.Have a passion to enhance analytical skills & capacities within the team and actively pursue tasks and objectives to achieve this goal.ExecuteSupport planning & prioritisation of requirement deliveryEnsure requirements support streamlined estimation & development by the Product TeamSupport the creation of data assets through development, testing or analysisIdentify source, prepare and maintain data required for Data Assets and Analytics projects or initiativesQualificationTo be considered for this role you must meet the below requirements: 12 years schooling or equivalent with additional qualification or certification relevant to data analysis2+ years experience in a data driven environment. Experience working with data assets that support a business need.Familiarity or knowledge of languages such as SQL, Python, R, etc.Familiarity or knowledge of visualisation best practise & enablement of data storytelling.Excellent command of written and spoken English.Understanding of how data is sourced and managed in a business environment.Attention to detail.At Emirates Group, we’re committed to providing our employees with opportunities to grow and develop their careers. If you’re looking for a challenging and rewarding opportunity, apply today and join our team!Salary & benefitsJoin us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers

The main duty of a Travel & Assistance Officer is to respond to telephone / e-mail inquiries and manage the claims cycle about the Travel & Assistance products / services by following standard protocols. The incumbent is also responsible to ensure all KPI’s are achieved & dealt with the highest standards of customer service. The Department will keep a record document details of telephone conversation and actions taken, in order to make further follow-ups and corrective action as required. The Travel & Assistance Officer will work closely with the Travel & Assistance team and management ensuring that all defined standards are met with excellent customer services standards.Key Responsibilities/What You DoManage the assigned tasks related to medical assistance cases.Evaluate medical claims according to the guidelines.Coordinate with different providers to ensure high quality of service when organizing medical assistance.Respond inbound and outbound telephone / e-mail Customer / Partners inquiries and ensure call quality monitoringClaims evaluation and processing activities such as checking policy, eligibility, claims creation in the system, follow up upon ongoing claims ensuring the requested turn around time and processing of claims and other tasks related to claims managementAssist callers on claims process / procedure / network inquiries, explaining policy terms & conditionsAccommodates Business Units / Travel / TPA International requests with regards to opening international files, placement of Guarantee of Payment, etc.Follow the complaints & escalation management process and log in complaints with action & resolution in the system / tools provided by the companyEnsure proper system related tasks as creating files and Service Providers updates on the portalRecord tasks in the productivity file, share with management and ensure reaching the level of productivity assignedFollow the internal processes and guidelines to ensure reaching the Operational KPIs (Quantity and Quality) and the attendance KPIsRequest feedback in relation to the performed tasks and discuss with Team Leader the monthly scorecard resultsMonitor daily activities as per the communicated Service Level Agreement, create reports / statistics / analysis and report any deviationAttend training sessions as requested and participate in the departmental activities in accordance with the monthly scheduleAttend internal meetings related to the job as per the internal requirementsAI READINESS Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical useKey Requirements/What You BringBachelor’s Degree in medical feild1+ years Insurance / Travel and medical assistance Operations ExperienceFluency in English is mandatoryFluency in Arabic (1st), French (2nd) is a plusFluency in typingLegally permitted to work in the country of operations.Physically fit to carry out dutiesHow we hire Allianz Partners does not accept unsolicited CV’s or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered.Key Benefits/What We OfferAllianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance.Our products are embedded seamlessly into our partners’ businesses or sold directly to customers and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care. Present in 75 countries, our 21,100 employees speak 70 languages, handle over 71 million cases each year, and are motivated to go the extra mile to offer peace of mind to our customers around the world.We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in.We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.At Allianz Partners, AI is revolutionizing customer service and claims management through innovative solutions. These AI-driven tools enhance productivity by streamlining complex claims processes, reducing administrative burdens, and accelerating resolution times. Our AI-powered technology has made claims processing faster, offering quicker resolutions. All while ensuring human oversight for claims to maintain service integrity. By embracing AI and Emerging Technologies, Allianz Partners continues to lead the industry, meeting ever-changing customer needs with innovative solutions. Our commitment to Ethical AI practices safeguards data integrity and trust, ensuring responsible deployment across all operations. This approach not only enhances customer experiences but also supports strategic initiatives like fraud detection and personalized product offerings, solidifying Allianz Partners' position as a leader in the insurance sector.Great to have you on board. Let's care for tomorrow.

We are looking for a skilled and motivated AI Engineer to join our team, with a strong focus on developing applications using Large Language Models (LLMs) and related technologies. The ideal candidate will have experience working with modern LLM frameworks, prompt engineering, vector databases, and structured data integration. You will play a key role in designing, building, and deploying intelligent solutions that interact with unstructured and structured data for advanced query and visualization use cases.Key ResponsibilitiesDesign and develop AI-driven applications leveraging LLMs (OpenAI, Hugging Face models, or local LLMs)Build and optimize workflows using frameworks like LangChain, LlamaIndex, or HaystackEngineer effective prompts for various use cases, ensuring accuracy and consistencyIntegrate text-to-SQL models to convert natural language queries into database operationsWork with vector databases (FAISS, Chroma, Pinecone) for semantic search and retrieval tasksImplement document processing pipelines including PDF ingestion, text chunking, and embedding generationGenerate interactive data visualizations using Plotly, Vega-lite, or JSON-based charting toolsCollaborate with data engineers, analysts, and product teams to deliver robust AI solutionsMaintain clean, modular, and scalable Python codeRequired SkillsStrong experience with LLM frameworks (e.g., LangChain, LlamaIndex, Haystack)Familiarity with LLM APIs such as OpenAI, Cohere, or local models via Hugging FaceHands-on experience with prompt engineering and model fine-tuning (preferred)Proficiency in vector databases: FAISS, Pinecone, or ChromaSolid understanding of document processing: text chunking, embedding strategies, and retrieval pipelinesKnowledge of text-to-SQL model integration and query optimizationExperience with data visualization tools: Plotly, Vega-lite, or equivalentStrong command of SQL and PythonExcellent problem-solving skills and ability to work in a fast-paced environment

AI & Tech Product Manager📍 Dubai, United Arab EmiratesWe’re looking for a strategic and hands-on AI & Tech Product Manager to take ownership of an AI-powered marketplace platform operating at the intersection of creator partnerships, intelligent automation, and digital collaboration tools.This is a high-impact opportunity to shape product direction from the ground up, working closely with leadership, engineers, AI specialists, and cross-functional teams to build scalable products for global markets.What You’ll Be DoingDefine and drive the overall product vision, strategy, and roadmap across marketplace features, AI-powered tools, onboarding experiences, and user dashboardsLead end-to-end product development from discovery and planning through launch, iteration, and optimizationTranslate business goals into clear product requirements, user stories, and functional specificationsPartner closely with engineering, design, AI/research, marketing, and operations teams to ensure smooth delivery and executionConduct user research and analyze behavioral data to understand user needs, pain points, and engagement patternsTrack and optimize key product metrics including acquisition, activation, retention, engagement, and monetizationManage and prioritize the product backlog in a fast-moving startup environmentStay informed on trends within AI, marketplace platforms, creator ecosystems, and digital products across international marketsContribute to growth and monetization strategies across Freemium and Enterprise offeringsWhat We’re Looking For5+ years of Product Management experience, ideally within marketplace or platform-based productsStrong exposure to AI-driven products, features, or workflows with a solid understanding of AI/ML conceptsProven experience managing the full product lifecycle in agile environmentsStrong analytical thinking with the ability to make data-informed product decisionsExcellent communication and stakeholder management skills across technical and non-technical teamsAbility to work cross-functionally and influence teams in a collaborative environmentBachelor’s degree in Computer Science, Engineering, Business, Data Science, or a related fieldNice to HaveExperience within creator economy, influencer marketing, social platforms, or digital communitiesExposure to Freemium models and B2B SaaS environmentsExperience scaling products internationally, particularly across MENA or US marketsStartup experience in early-stage or high-growth environmentsMBA or Master’s degree in a related disciplineWhy This Opportunity?Foundational role with strong ownership and visibilityOpportunity to shape an AI-first product in a growing marketCollaborate with high-performing engineering and AI teamsFast-paced environment with strong growth potentialCompetitive salary, performance incentives, and equity optionsIf you enjoy building products where data, AI, and human collaboration collide, this could be a strong fit.

Damac Group is hiring Senior Directors – Artificial Intelligence to lead enterprise AI deployment across a multi-vertical business spanning real estate, capital projects, and corporate platforms. This is not an innovation role. This is end-to-end AI delivery at scale.About the Role:You will own the full lifecycle of AI deployment — from identifying high-value use cases through to building, deploying, and scaling production-grade systems across the business.You will lead AI initiatives that drive real operational impact — embedding Traditional AI, Generative AI, and Agentic AI systems into live workflows across the enterprise.Key Impact Areas:Own end-to-end AI delivery — concept → build → production → scaleLead deployment of AI across Sales, Marketing, Capital Projects, and Corporate PlatformsArchitect and implement AI/ML, GenAI, and Agentic AI systems integrated into enterprise workflowsBuild and lead cross-functional AI engineering teams (Product, Data, Engineering)Establish MLOps, deployment standards, and governance frameworksDrive adoption, performance, and measurable business ROI from AI systemsWhat We’re Looking For:10–15+ years in engineering, AI, or large-scale technology deliveryProven track record deploying AI/ML systems into production at enterprise scaleStrong experience with cloud platforms (AWS, Azure, or GCP), APIs, and data pipelinesHands-on understanding of LLMs, orchestration frameworks, and MLOpsExperience leading technical teams and senior stakeholdersAbility to operate 50/50 technical and business-facingPreferred Experience:Exposure to capital projects environments (project controls, procurement, operations) is preferred but not essential.Experience embedding AI into complex, multi-system enterprise environments

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We're building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.About youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

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

As the Data Scientist at First Abu Dhabi Bank within the Data & Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes.Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques. Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline specifications. Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis. Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations. Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights. Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies. Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or relatedfield; Additional Degree or certifications in the field related to data science/Analytics ispreferred. Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python. Advanced proficiency in programming languages in SAS Base, EMiner, Advanced Hands-on Programming experience in Python. Hands on Experience of working on Dataiku Platform for production is required Azure Databricks and AWS knowledge is a plus Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques. Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku. Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies. SAS, Dataiku certifications would be added advantage.

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.

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 Staff 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.7+ 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.An excellent communicator.A strong sense of ownership and accountability.A ‘keep it simple’ approach to #makeithappen.

The Story So Far: We’re Building a Global Brand in Real EstateHuspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.We’ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.We’re not slowing down.The question is: will you be part of what’s next?The Main Event: What You’ll Drive, Build, and OwnReal Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.Data Analysis & Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.The Perfect Match: What It Takes to Succeed at HuspyProven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs.SQL & Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.Communication & Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.Academic Background: Bachelor’s in STEM (Master’s a plus).By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

Job SummaryWe are seeking an experienced Data Scientist with strong capabilities in data analytics, statistical modeling, and data visualization to support enterprise reporting and strategic decision-making. The role involves working with large, structured datasets, developing advanced analytical models, and creating intuitive dashboards to translate data into actionable business insights. The ideal candidate will have hands-on experience with Qlik Sense for reporting and dashboard development, along with strong SQL skills for data extraction and transformation. Experience with Oracle EBS data is highly desirable. The role requires collaboration with business stakeholders, IT teams, and management to ensure accurate, timely, and meaningful data-driven insights.Key Responsibilities:Design, develop, and maintain interactive dashboards and reports using Qlik Sense to enable data-driven decision-making.Build predictive, statistical, and analytical models to support operational, tactical, and strategic business decisions.Write and optimize SQL queries to extract, transform, and analyze large datasets efficiently.Ensure data integrity, consistency, and high performance across analytics solutions.Collaborate with business units to understand reporting needs and translate them into technical solutions.Support ongoing enhancements, troubleshooting, and optimization of data models, dashboards, and reports.Stay updated with emerging tools, techniques, and best practices in data analytics and business intelligence.Qualifications & Experience: BTech / BSc in Computer Science, MCA, or equivalent technical qualification.2–5 years of proven experience in data analytics, modeling, and dashboard development.Strong expertise in Qlik Sense and SQL; experience with Oracle EBS is a plus.Excellent analytical, problem-solving, and communication skills, with the ability to present complex data clearly to stakeholders.Ability to work independently as well as collaboratively in a dynamic, fast-paced environment.

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.DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.The Lead AI Cyber Security Threat Intelligence Specialist is a senior position within Deeplight consultancy, deployed directly to a major banking client. Serving as a key advisor to the client's senior leadership, the role involves identifying, analysing, and mitigating security threats unique to Artificial Intelligence and Machine Learning systems. The position requires a balance of advanced technical threat intelligence, risk analytics, and professional advisory skills within a highly regulated financial services environment.ResponsibilitiesThreat Analysis: Monitor, detect, and analyse emerging cyber threats, vulnerabilities, and attack vectors targeting the banking client's AI/ML infrastructure, models, and data pipelinesRisk Mitigation: Develop and implement proactive defence strategies, countermeasures, and security frameworks to protect AI systems against adversarial attacks, data poisoning, and model inversionStakeholder Advisory: Translate complex AI security risks into clear, actionable intelligence reports and briefings for senior leadership and risk committeesIncident Response Collaboration: Work alongside the client's existing Security Operations Centre (SOC) and Incident Response teams to investigate and remediate AI-specific security breachesStrategic Contribution: Align Deeplight's delivery with the client's long-term security strategy, modelling high professional standards and technical excellence across all project workstreamsAs 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.RequirementsTo be considered for this role, we need you to have:A minimum of 6 years in cybersecurity, with at least 2 years focused specifically on securing AI/ML workloads or advanced data platformsProven experience working with or within a Tier 1 or Tier 2 banking institution, navigating strict regulatory and compliance standardsPrior experience in a client-facing professional services or consultancy role, managing expectations and delivering structured project outcomesExperience analysing complex cloud-based enterprise environments (e.g., AWS, Azure) where AI systems are deployedAn advanced understanding of AI-specific security frameworks, vulnerabilities (e.g., OWASP Top 10 for LLMs, MITRE ATLAS), and defensive engineeringProficiency in collecting, processing, and analysing technical cyber threat intelligence within a corporate network environmentThe ability to quantify and model security risks associated with deploying AI models in production, particularly regarding data privacy and financial complianceThe capability to communicate critical security risks to senior bank executives, regulators, and non-technical stakeholdersIt would also be great if you have:Security certifications such as CISSP, CISM, or specialized AI/Cloud security credentialsFamiliarity with Python, MLOps pipelines, or data science tools to better understand model vulnerabilitiesA deep understanding of global financial regulations impacting AI, such as the EU AI Act or local banking authority guidelinesBenefitsThe benefits you'll enjoy as part of this role include:Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individualProfessional development and certification supportSubscription reimbursement relating to your roleOpportunity to work on cutting-edge AI projectsMonthly Employee Incentive programCareer 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.

We are seeking a hands-on Principal Data Scientist to lead applied machine learning and research initiatives for security- and privacy-critical AI systems. This role is ideal for a senior practitioner who combines deep theoretical understanding with strong engineering execution, and who has experience building ML systems within strict compliance, privacy, and regulatory boundaries. The role spans research-driven exploration and production delivery. You will allocate and manage your technical bandwidth across exploratory research, model development, and strategic mentorship—ensuring that advanced techniques translate into robust, deployable, and compliant solutions. You will work extensively with NLP and Transformer-based architectures, alongside classical ML methods, to solve real-world security problems at scale. This is not a purely academic or managerial role. You will design experiments, write code, review models, evaluate risks, and ship systems, while also guiding technical direction and elevating the team’s capabilities. Key Responsibilities :Applied Research & Strategic Direction Define research agendas aligned with building a security-first AI platform Allocate bandwidth across near-term production improvements, mid-term architectural exploration, and longer-term research bets Conduct structured experimentation on detection accuracy, adversarial robustness, privacy impact, and regulatory compliance Translate research into engineering-ready designs and contribute to external visibility (publications, whitepapers, conferences where permissible) Model Development & Implementation Architect and deploy end-to-end ML solutions using classical ML, deep learning, and Transformer architectures Lead hands-on development: data exploration, feature design, training, hyperparameter optimization, error analysis Build models for real-world constraints: latency, throughput, scalability, cost efficiency, and robustness under distribution shift Apply privacy-preserving techniques: differential privacy, secure aggregation, controlled data access Evaluation & Monitoring Design rigorous evaluation frameworks for security-sensitive ML systems Define offline/online benchmarks measuring precision/recall trade-offs and business impact Establish monitoring systems tracking model performance, data quality, bias, fairness, and privacy Security, Privacy & Compliance Partner with legal, privacy, and security teams to ensure systems operate within compliance boundaries Embed responsible AI principles and ensure interpretability for internal reviews, regulatory audits, and customer explanations Anticipate and mitigate adversarial scenarios relevant to security-focused ML Mentorship & Technical Leadership Provide hands-on mentorship to data scientists and ML engineers Review model designs, experiments, and code for correctness, robustness, and security implications Required Qualifications:Education & Experience PhD in Computer Science, Statistics, Mathematics, or related quantitative field OR Master's + 8+ years relevant industry experience 10+ years experience in data science, machine learning, or applied research with 3+ years in lead/lead/principle-level role Proven track record shipping ML systems into production Core Technical Competencies Deep, hands-on experience with Transformer architectures (NLP-focused) and classical ML algorithms Strong understanding of generalization, bias–variance trade-offs, experimental design, and statistical rigor Practical experience with privacy-preserving ML techniques Proficiency: Python, PyTorch/TensorFlow, NumPy, Pandas, SciPy, Scikit-learn Experience with model interpretability (SHAP, LIME) and responsible AI practices Strong MLOps familiarity: Git, CI/CD, Docker, model deployment and monitoring Nice to have Publication record in top-tier ML venues Experience with Generative AI/LLMs in constrained or enterprise environments Prior work on security-focused ML (fraud, abuse, spam, threat detection) Familiarity with model optimization (quantization, efficient inference) Direct experience with compliance, privacy, or regulatory teams

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 modelling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.The Executive Manager - Squad Cyber Technical Lead is a high-level strategic and technical leadership position within Deeplight consultancy, embedded directly within a major banking client. The role is responsible for defining the technical cyber strategy for a dedicated engineering delivery squad and steering the execution of complex security initiatives. Serving as the primary technical authority within the squad, this position bridges the gap between enterprise security architecture, senior leadership vision, and hands-on deployment. The successful candidate will drive technical excellence, maintain strict regulatory compliance alignment, and optimize squad velocity within a Tier 1 financial institution.Your responsibilities in this role include:Strategic Direction: Translate macro enterprise cyber security strategies into actionable technical roadmaps, architectural patterns, and engineering deliverables for the squadTechnical Authority: Serve as the ultimate technical decision-maker within the squad, ensuring all software, platform, and security engineering activities align with bank-wide architecture standardsDelivery Execution: Oversee the end-to-end technical delivery lifecycle, actively managing engineering risks, technical dependencies, and complex release schedulesSquad Leadership: Lead and mentor a cross-functional squad of security engineers, architects, and analysts, optimizing performance, fostering collaboration, and driving engineering accountabilityStakeholder Management: Act as the primary technical interface for senior bank executives, enterprise architects, and risk committees, presenting technical solutions and delivery progressDeeplight Representation: Champion professional excellence, technical integrity, and consultative leadership across all client interactions, setting a benchmark for the broader teamCoaching and ManagementSenior leaders at DeepLight AI are responsible for delivering results and developing people. Utilising coaching skills to encourage and support growth whilst balancing the requirement for excellence in results.CoachingGrowing future leaders through mentorship and feedbackEmpowering your teams to think independently and learn continuouslyFostering a culture of curiosity, reflection, and resilienceManagementAligning strategy with execution and ensuring delivery excellenceSetting clear goals and objectives, driving accountability, and supporting performanceLeading with transparency, integrity, and trustAs 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 minimum of 8 years in senior cybersecurity, engineering, or enterprise architecture roles, with at least 3 years acting as a technical lead or delivery directorExtensive experience driving technical delivery within a highly regulated tier-1 or tier-2 financial institution, navigating complex legacy environments and strict change controlsA proven track record in a senior client-facing professional services or management consulting role, managing executive client relationships and project scopesDocumented experience leading the technical deployment of enterprise-wide security solutions (e.g., identity platforms, cloud infrastructure security, or global data protection tools)An advanced ability to design and implement pragmatic, forward-looking security strategies across complex enterprise environmentsExpertise in validating technical designs against corporate blueprints, zero-trust principles, and industry-standard security modelsProven capability to command technical authority, resolve complex architectural disputes, and lead high-performing technical squadsAdvanced proficiency in Agile, Scrum, or Scaled Agile Framework (SAFe) methodologies to govern technical execution and delivery pipelinesStrong communication and diplomacy skills, with the capacity to defend technical decisions and risk trade-offs to non-technical C-suite stakeholdersIt would also be great if you have:Relevant professional designations such as CISSP, ISSAP, CISM, TOGAF, or advanced Agile Leadership credentials (e.g., PMI-ACP, SAFe Agilist)Advanced knowledge of securing distributed workloads across AWS, Azure, or hybrid cloud environmentsPractical familiarity with DevSecOps implementation, automated compliance-as-code, and containerization security modelsBenefitsThe benefits you'll enjoy as part of this role include:Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individualProfessional development and certification supportSubscription reimbursement relating to your roleOpportunity to work on cutting-edge AI projectsMonthly Employee Incentive programCareer 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.

The Story So Far: We’re Building a Global Brand in Real EstateHuspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.We’ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.We’re not slowing down.The question is: will you be part of what’s next?The Main Event: What You’ll Drive, Build, and OwnReal Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.Data Analysis & Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.The Perfect Match: What It Takes to Succeed at HuspyProven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs.SQL & Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.Communication & Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.Academic Background: Bachelor’s in STEM (Master’s a plus).By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.In This Role, You'll Help The TeamCo-develop production-level data science projects with our customers Analyse and investigate various kinds of data and machine learning applications across industries and use cases Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality You might be a good fit for the role if you have:English - fluent, Arabics - fluent/native will be a big plusCuriosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences 2 - 10 years of experience with Python and SQL 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualisation in Python and R Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Technical Skills That May Help You In The RoleExperience with Consulting and/or Customer-facing Data Science roles Experience with Data Engineering or MLOps Experience developing WebApps in JavaScript, RShiny, or Dash Experience building APIs Experience using enterprise data science tools Passion for teaching or public speaking What are you waiting for!At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.comProtect yourself from fraudulent recruitment activityDataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

The AI Agent Manager, Commercial is responsible for identifying, designing, building, and deploying AI and automation agents across the sales and revenue operations function. This is a hands on, senior individual contributor role focused on driving bottom up adoption of AI powered workflows within commercial teams. The role exists to accelerate sales productivity, improve pipeline quality, reduce manual effort in quoting, proposal generation, and customer communications, and embed a culture of AI augmented working across the commercial organisation. The AI Agent Manager works closely with sales leaders, revenue operations, and product teams to identify high value use cases, prototype solutions, measure adoption, and scale what works.Responsibilities Use Case Discovery and Prioritisation: Identify and evaluate high value opportunities to deploy AI agents across the sales function, including lead qualification, outbound sequencing, proposal drafting, quote generation, and CRM data enrichment. Prioritise based on effort, impact, and adoption readiness Agent Design, Build, and Deployment: Design, configure, and deploy AI agents and automated workflows using LLMs, APIs, and integration tools. Own the end to end lifecycle from prototype through production deployment, including testing, monitoring, and iteration Sales Productivity Improvement: Reduce manual effort in repetitive commercial workflows by embedding AI agents into daily sales activities. Measure time saved, error reduction, and throughput improvements. Ensure agents augment rather than replace human judgment in customer facing interactions Adoption and Change Management: Drive bottom up adoption by working directly with sales teams and individual contributors. Provide hands on training, create playbooks, run workshops, and build internal champions. Track adoption metrics and iterate based on user feedback Data Quality and Integration: Ensure AI agents operate on clean, reliable data by working with revenue operations and data teams. Define data requirements, build integration points with CRM, ERP, and communication tools, and establish feedback loops to improve agent accuracy over time Performance Measurement and Reporting: Define and track KPIs for each deployed agent including adoption rates, productivity gains, accuracy, and ROI. Report outcomes to commercial leadership and use evidence to inform scaling decisions and investment cases Cross Functional Collaboration: Partner with Product, Engineering, and IT to align agent deployments with platform capabilities, security requirements, and data governance standards. Ensure agents are built within approved frameworks and comply with company policies Experimentation and Innovation: Stay current with emerging AI capabilities, LLM developments, and automation tools. Run structured experiments to test new approaches and share learnings across the organisation to build collective AI fluency Documentation and Knowledge Management: Maintain clear documentation for all deployed agents including design rationale, configuration, dependencies, known limitations, and escalation paths. Build a reusable library of agent patterns and templates Vendor and Tool Evaluation: Evaluate and recommend AI tools, platforms, and vendors relevant to commercial use cases. Provide informed build versus buy recommendations within group guardrailsRequirementsQualifications and EducationInclude any specialised education and minimum qualifications needed to be able to perform the job.Bachelor degree in Business, Computer Science, Data Science, or related discipline. Certifications in AI, machine learning, or automation platforms are a plus.Work Experience 3 to 5 years experience in sales operations, revenue operations, or commercial process improvement roles. Demonstrated experience deploying AI tools, LLM based agents, or workflow automation in a B2B sales environment. Experience with CRM systems, sales enablement tools, and data pipelines. Track record of driving adoption of new tools and processes across commercial teamsSkills And Knowledge Strong understanding of LLMs, prompt engineering, and AI agent frameworks. Practical experience with automation platforms and API integrations. Sales process knowledge including pipeline management, quoting, proposal generation, and customer communications. Data analysis and KPI design skills. Change management ability to drive adoption bottom up without formal authority. Strong communication skills to translate technical concepts for commercial audiencesClaude Enterprise And Cowork Skills Proficiency in Anthropic's Claude platform including Claude for Enterprise and Claude Teams administration, user provisioning, workspace configuration, and usage policy management Hands on experience with Claude Cowork mode for desktop automation, including skill creation and management (SKILL.md authoring), custom plugin development and deployment, and scheduled task configuration using cron based scheduling Experience with Claude Code CLI for agentic coding workflows, including hooks, slash commands, and MCP (Model Context Protocol) server integration for connecting Claude to enterprise data sources and third party tools Ability to design and implement agentic loops and multi step agent workflows, including tool use patterns, iterative reasoning chains, sub agent orchestration, error recovery loops, and human in the loop approval gates Advanced prompt engineering for Claude models including system prompts, structured output formatting, tool definitions, chain of thought techniques, and context window optimisation for enterprise scale document processing Working knowledge of the Anthropic API including Claude Agent SDK, tool use (function calling), streaming responses, batch processing, and model selection across Claude Opus, Sonnet, and Haiku variants for cost and latency optimisation Familiarity with enterprise connectors and integrations within Claude ecosystem including Microsoft 365 (Outlook, Teams, SharePoint), browser automation via Claude in Chrome, and third party MCP connectors for operational data sources Understanding of AI safety, security, and governance principles including prompt injection defence, content filtering, data privacy controls, audit logging, and compliance with enterprise security policies when deploying AI agents at scaleContinuous learning in AI, LLMs, and automation expected.Benefits Competitive Salary and Bonus: We reward your expertise and contributions Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one Marcura Wellness Zone: We value your work-life balance and well-being Global Opportunities: Be part of an ambitious, expanding company with a local touch Diverse, Supportive Work Culture: We're committed to inclusion, diversity, and a sense of belonging for all team members

Overview100% Remote. The AI & Robotics Business Partner is responsible for leveraging artificial intelligence and robotics technologies to drive business transformation across various sectors. This role involves collaborating with cross-functional teams to identify opportunities for AI and robotics integration, develop strategic initiatives, and ensure successful implementation of solutions that enhance operational efficiency and drive growth.ResponsibilitiesIdentify and analyze business needs that can be addressed through AI and robotics.Develop strategic roadmaps for the integration of AI technologies in business processes.Collaborate with technical teams to design and implement AI and robotics solutions.Provide insights and recommendations based on data analysis to stakeholders.Manage projects from inception through execution and delivery, ensuring alignment with business objectives.Train and educate team members and stakeholders on AI and robotics technologies.Serve as a liaison between technical and non-technical teams to facilitate effective communication.Minimum Requirements:Bachelor's degree in Computer Science, Engineering, or related field.3+ years of experience in AI, robotics, or related technologies.Proven track record in business strategy development and execution.Experience working in a cross-functional team environment.Knowledge of machine learning algorithms and robotics frameworks.Preferred Requirements:Master's degree in a related field.5+ years of experience in AI and robotics strategic roles.Understanding of regulatory and compliance issues related to AI technologies.Familiarity with Agile methodologies and project management.Experience in consultative selling and client relationship management.

About UsAt Dyson, we’re driven by a relentless pursuit of innovation—pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dyson’s future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices.You’ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.About the role We are looking for a specialized Data Intelligence Machine Learning Engineer to design and implement in-house tools that automate our data labelling pipelines. Your primary goal will be to reduce our reliance on manual annotation by leveraging techniques like Active Learning, Weak Supervision, and Synthetic Data Generation. You will bridge the gap between raw data collection and model-ready datasets, ensuring high-quality labels at scale. Key ResponsibilitiesArchitect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.Develop "Human-in-the-Loop" (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.Quality Assurance & Denoising: Implement algorithmic checks to identify and correct mislabelled or "noisy" data within existing datasets.Tooling & Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.Model Optimization: Fine-tune "teacher" models to generate high-quality pseudo-labels for "student" models.Set up and maintain robust data preparation infrastructure—optimising for data quality, speed, and seamless integration with downstream MLOps pipelines.Perform data visualization and in-depth analysis using advanced data and feature engineering techniques. You’ll help transform raw data into actionable insight, supporting both research and deployment.Work closely with Data Scientists, Software Engineers, and Product teams to ensure high data quality and usability across products and projects.About youAt least 3+ years of professional experience in Machine Learning engineering, specifically focused on data centric-AI or computer vision/NLP pipelines.Proficiency in Python: Mastery of the Machine Learning stack (PyTorch or TensorFlow, NumPy, Pandas, Scikit-learn).Automated Labelling Expertise: Proven experience with Weak Supervision (labelling functions) or Active Learning strategies (uncertainty sampling, diversity sampling).Data Engineering: Experience with SQL and NoSQL databases, and managing large-scale unstructured data (images, text, or audio).Cloud Infrastructure: Familiarity with AWS (SageMaker Ground Truth), GCP (Vertex AI), or Azure ML labelling services.Version Control for Data: Experience with DVC (Data Version Control) or similar tools to track dataset iterations.Hands-on expertise building auto-labelling solutions or working with large-scale data annotation workflows.Advanced skills in Python (and/or other relevant languages), and experience with key ML/data science libraries (e.g. TensorFlow, PyTorch, scikit-learn, pandas).Experience designing, deploying, and maintaining scalable data pipelines, including data cleansing, transformation, and storage (cloud, on-prem, or hybrid).Strong background in feature engineering, data analysis, and data visualization—comfortable using tools like Jupyter, Tableau, or Power BI.Great communicator who documents solutions clearly and collaborates effortlessly across technical and non-technical teams.Able to balance speed and quality, stay curious about new developments, and deliver results in a fast-moving environment.Bachelor’s or Master's degree in computer science, Engineering, Mathematics, Data Science, or a related field.Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

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.

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

Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries, redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in New York City, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.About The Staff Data Scientist RoleAs a Strategic Data Scientist at Keystone, you will design and deploy analytical models, machine learning systems, and investigative workflows that support expert testimony, litigation strategy, and regulatory advisory in areas such as AI, cybersecurity, and platform governance. Working alongside economists, fellow technologists and strategists, you’ll transform complex, often unstructured datasets (e.g., JSON, CSV, logs, scraped data) into defensible insights that drive decisions in high-impact cases involving antitrust, digital risk, and emerging technology regulation.Key ResponsibilitiesLead the design and implementation of analytical solutions, from data architecture to model deploymentApply statistical, econometric, and machine learning techniques to generate insights in areas such as AI risk, digital forensics, and competition analysisBuild, test, and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projectsCollaborate with consultants, economists, and legal experts to translate technical findings into strategic recommendationsServe as a technical advisor on engagements involving advanced data, AI, and digital transformation topicsMentor and guide junior engineers and data scientists in best practices for modeling, code development, and experimental designContribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalabilityEngage in knowledge-building initiatives that strengthen Keystone’s global AI and data science communityWhat You'll BringAdvanced graduate degree (PhD or Master’s) in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical fieldAt least 6+ years of professional experience in data science, machine learning, or applied analytics rolesAt least 2 years experience working in the GCCDeep understanding of AI/ML, NLP, and data science methodologies with experience applying them in real-world or regulated domainsStrong proficiency in Python, R, SQL, and familiarity with modern data science ecosystems (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI API)Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable data workflows (Airflow, dbt, Spark, BigQuery, Snowflake)Ability to manage multiple analytical workstreams and communicate complex findings clearly to technical and non-technical audiencesProven leadership in guiding diverse technical teams and driving innovation in data-driven problem solvingA balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment Why Keystone AI Salary Range: Competitive with an annual discretionary bonus, pension contribution, and competitive benefits package. Actual compensation will depend upon the level the individual is hired into based on their skills, experience, and qualifications.At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone.

Damac Group is hiring AI Managers / Senior AI Engineers to build and deploy production-grade AI systems and data platforms across the business. This is a hands-on engineering role — not research, not experimentation.About the Role:You will design, build, and deploy real AI systems and data pipelines that solve operational business problems. You’ll operate as a lead engineer within a small pod, owning delivery from problem definition through to production deployment.We are hiring across two tracks:Data EngineeringAI/ML Engineering (Gen AI & LLMs)Key Impact Areas:Build and deploy production-grade data pipelines and AI systemsTranslate business use cases into scalable technical solutionsDevelop APIs, workflows, and system integrations across enterprise platformsDeliver solutions across AI/ML, Gen AI, LLMs, and automation workflowsEnsure systems are production-ready, performant, and scalableLead delivery across small engineering podsTrack A – Data EngineeringBuild scalable ETL/ELT pipelines and data infrastructureWork with cloud data platforms (Databricks) Develop batch and streaming data pipelinesEnable clean, structured data layers for AI/ML systemsTrack B – AI/ML Engineering (Gen AI & LLMs)Build and deploy AI/ML and LLM-based systemsDevelop RAG pipelines, vector database integrations, and AI workflowsWork with orchestration frameworks (e.g. LangChain or similar)Deploy models into production environments with real usersWhat We’re Looking For:Strong hands-on engineer with real production deployment experienceHigh proficiency in Python (and SQL for data track)Experience building APIs, pipelines, and distributed systemsExposure to LLMs, Gen AI tools, or AI/ML systems in productionAbility to operate 70–80% hands-on codingStrong ownership mindset — you build, ship, and own outcomes

Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai’s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai’s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.Dubai Holding is committed to the diversification of Dubai’s non-oil economy. Our portfolio, valued at over AED 284+ billion, spans 10 sectors, including real estate, hospitality, leisure & entertainment, ICT, design, education, media, retail, manufacturing & logistics, and science.For the Good of TomorrowDubai Holding is looking to hire an Associate Director – Data Scientist within the Information Technology Department at Dubai Holding. The role holder is responsible for data and analytics insights, artificial intelligence delivery to business owners as part of the Company’s AI Center of Excellence. The job holder is expected to drive significant impact and value through data and analytics within the business by identifying net new opportunities for impact, managing a diverse portfolio of analytics projects, leading high-profile initiatives, and collaborating with cross-functional partners to ensure awareness, agreement, alignment and commitment.If you are ready to embark on a dynamic journey where your talents are valued, and your contributions make a real impact, we would like to hear from you.Key Accountabilities: AI & analytics delivery: Manage delivery of AI/Data Science projects with business partners. Build appropriate machine learning models to deliver business outcomes. Drive topline or bottom-line impact through advanced analytics. Roll out AI strategy workstreams including tech development and implementation. New opportunities in partnership with business verticals:Build deep understanding of functional areas (e.g., Ops, Marketing, Finance) to identify new opportunities for optimising ROI. Develop AI use cases for customer growth or operational efficiency. Jointly own KPIs and performance metrics with business stakeholders. Work closely and collaborate with product managers for use case delivery. Ensure delivery within scope, budget, and schedule.Agile delivery & team collaboration:Promote agile methodologies and iterative development. Collaborate cross-functionally to ensure alignment and commitment. Who we are looking for:8+ years of experience and 2+ years of line management.Education/Professional Certification: Minimum requirementsBachelor’s Degree in a quantitative field (Mathematics, Engineering, Statistics, Science, Data Science/ AI) Advanced degrees preferred. Technical Competencies: Experience in the following databases: MySQL, Microsoft, Palantir Foundry etc. Experience in implementing AI solutions including OCR, Large Language Models, etc. Experience with LLM, GenAI, machine learning, predictive modelling/ algorithms etc. Proficiency in Python, SQL, PL/SQL, Spark and similar languages Strong analytical and problem-solving skills Experience working in a tech/ product environment is a plus Behavioural Competencies:High-energy, ownership-driven mindset Strong problem-solving and analytical skills Excellent communication and collaboration abilities Comfortable navigating ambiguity and driving clarity Experience in agile/start-up environments preferred Successful track record of leading complex projects is a plus As much as we would be delighted to entertain all applicants, due to the high volumes of applications, only successful applicants will be contacted within 14 business days.This job description is not all inclusive. Dubai Holding reserves the right to amend this job description at any time. Dubai Holding is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.

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.

ABOUT US | Whiteshield is a global policy advisory and AI economics firm known for our ability to respond to global challenges rapidly and incisively. We use the most advanced tools and technology and combine them with our team of leading international experts to engage decision-makers in tackling society's most significant challenges. We are recognized for our rapid decision support, innovation, data science algorithms and deep policy expertise. We are specialists in "connecting the dots" between policy, business and technology. Quantum X is Whiteshield's product business, hosting our PaaS and SaaS product offering. Partnered with Google Cloud, we bring advanced solutions to governments around the world to drastically improve citizen outcomes in areas such as employment, trade, and education. Our flagship product is the Career Navigator, which is a fully AI-enabled one-stop-shop for a competitive workforce, providing citizens and organisations with a wide range of services such as job matching, upskilling, career guidance, and financial support.We are seeking an experienced and driven Product Manager to join Quantum X and lead the development of data-intensive, analytical products.This role is central to shaping products that transform complex datasets into insightful, scalable, and impactful digital solutions in the labour and education space You will operate at the intersection of data science, engineering, and policy, working closely with cross-functional teams to define product strategy, deliver robust analytical capabilities, and ensure measurable impact.This is a high-ownership role with significant responsibility and the opportunity to build products that directly influence policy decisions and societal outcomes globally.WHAT YOU WILL DO | Product Strategy & VisionDefine and drive product vision, strategy, and roadmap aligned with business and client objectives Identify opportunities to leverage data, analytics, and AI to solve complex policy and economic challenges Analytical Product DevelopmentLead the development of data-driven features, including dashboards, models, and decision-support tools Work closely with data scientists to define analytical frameworks, models, and data pipelines Translate complex analytical outputs into intuitive product experiences for end users Product Discovery & Problem StructuringBreak down complex policy and business problems into scalable, data-backed product solutions Conduct user research, stakeholder interviews, and market analysis to inform product direction Experimentation & Data-Driven IterationDesign and run experiments (A/B testing, feature validation, model testing) Use data and analytics to validate hypotheses and drive continuous improvement Requirements & DeliveryTranslate business and analytical requirements into clear specifications for engineering, data science, and design teams Own the product lifecycle from ideation through development, deployment, and iteration Performance & Data Ecosystem OwnershipDefine KPIs and build measurement frameworks for product success Ensure strong integration with data infrastructure to enable tracking, analytics, and insights generation Cross-Functional CollaborationWork closely with engineers, data scientists, designers, and policy experts Act as the bridge between technical teams and non-technical stakeholders Stakeholder & Client EngagementEngage with internal leadership and external stakeholders, including government counterparts Translate client needs into product features and communicate analytical insights effectivelyWHO YOU ARE |Entrepreneurial and ambitious, with your own perspective and ideas, and with an eagerness to contribute to the success of the studio and the organisation.   Highly independent and self-motivated, with strong leadership skills and a get-things-done attitude to deliver results.  Passion for the public good and eagerness to make a societal impact with their work, ideally with a particular interest in economic development, workforce development, and education. Highly creative and eager to push the boundary on innovation and really rethink the standard within traditional (policy) areas. Eager to work in a fast-paced, high-growth environment that challenges you to excel. RequirementsWHAT YOU NEED |4-8+ years of experience in product management, ideally in data, analytics, or AI-driven products Strong understanding of data analytics, data science workflows, and quantitative problem-solving Experience working with: Data platforms, dashboards, or analytical products Data pipelines, metrics, and experimentation frameworks Familiarity with machine learning or statistical modelling concepts (hands-on coding not required, but strong literacy expected) Proven ability to work closely with data science and engineering teams Experience delivering complex, data-intensive products end-to-end Technical & Product SkillsExperience with tools such as Jira, Confluence, Figma, or similar Strong understanding of product analytics, A/B testing, and experimentation methodologies Solid grasp of UI/UX principles, especially for data-rich interfaces Hyperawareness of AI tools in the development process, including experience with tools such as Cursor and ClaudeCore CapabilitiesExceptional analytical thinking and problem-solving skills Strong communication and stakeholder management skills Ability to manage multiple priorities and deliver under pressure NICE TO HAVE | Background in economics, public policy, data science, engineering, or related fields Experience in consulting, public sector, or economic development projects Familiarity with cloud platforms (e.g., Google Cloud) and modern data architecturesBenefitsWHY WHITESHIELD |Work on high-impact projects with governments and large institutions Be part of a team pushing the boundaries of AI-driven software development Operate in a high-trust, high-autonomy environment Build products that go beyond dashboards - real-world impact at scale

Greetings,We have an immediate opening for a Python Developer at Synechron in Dubai.Role: Python DeveloperExperience: 10+ yearsLocation: DubaiEmployment type: Full-timeDomain: TelecomPreferences: Candidates with DataRobot experience, telecom domain background, and Arabic language skills will be given priority.About Company:Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering.Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community.Synechron: Technology and AI Consulting for BusinessSynechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses.Diversity, Equity, and InclusionSynechron’s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn’t matter where you’re from or what you’ve had to do to get here – if you have the skills, enthusiasm, and drive to make your mark, we’ll support you like we support each other. Choose a career with us and let’s pursue innovation, together. Job Descriptions:Python Developer – Agentic AIExperience Required:Total Experience: 10+ YearsAgentic AI Experience: Minimum 3+ YearsKey Skills & Responsibilities:Strong hands-on experience in developing Agentic AI solutions and autonomous AI workflowsExperience in building AI agents and multi-agent orchestration frameworks using LangGraph or similar technologiesStrong understanding and implementation experience on top of Large Language Models (LLMs) including prompt engineering, RAG architecture, memory management, and agent workflowsExperience working with Vector Databases for semantic search, embeddings, and knowledge retrieval use casesHands-on experience with DataRobot or OpenShiftStrong backend development capabilities using Python and related frameworksExperience in developing scalable APIs, microservices, and AI-driven backend systemsKnowledge of AI integration patterns, model orchestration, and enterprise-grade AI solution architectureTelecom domain exp would be advantage.

Job Title: Marketing Operations & Data SpecialistYou'll make a difference by:Architecting Intelligent Workflows: Designing and managing end-to-end automation using Microsoft Power Automate, n8n, and RPA platforms like UiPath to streamline global marketing operations.Turning Data into Strategy: Integrating Snowflake and Power BI to engineer data pipelines and create high-impact visualizations that drive campaign decisions.Scaling Content with AI: Leading the charge on generative AI integration to revolutionize how the team creates, distributes, and localizes content across global channels.Bridging Global Gaps: Collaborating with international teams to identify process pain points, establishing best-practice frameworks, and centralizing media assets with consistent metadata.Ensuring Technical Integrity: Building scalable, secure integrations via APIs and Python/JavaScript scripting while maintaining rigorous cybersecurity and version control standards.Optimizing the User Experience: Analyzing campaign effectiveness through custom dashboards and refined UI/UX interfaces to present clear insights to stakeholders.Your defining qualities:Proven Track Record: You bring 2–5 years of professional experience in marketing operations, data science, or a highly technical marketing role.A Technical Polymath: You have a solid background in Data Science, CS, or Marketing Informatics, with deep expertise in at least one core area (Automation, AI, or Data Management).A MarTech Architect: You have hands-on experience building complex workflows and integrating third-party tools into a cohesive marketing tech stack.A Data Fluent Strategist: You are proficient in ETL processes and modern data environments like Snowflake, with the ability to translate "big data" into "big ideas."An AI Pioneer: You stay ahead of the curve with AI/ML models, generative AI, and prompt engineering to keep the business at the cutting edge.A Cross-Functional Communicator: You can translate complex technical concepts for non-technical stakeholders and thrive in multicultural, global environments.A Creative Problem-Solver: You are a solutions-oriented thinker who isn’t afraid to challenge conventional methods and propose innovative improvements.How to apply: Applicable to all applicants, to be considered, please upload or share a portfolio of your previous work (PDF or link) along with your resume. Interested Siemens Internal candidates, kindly reach out directly to the respective in-country Talent Acquisition representative to initiate the application process instead. This is what happens after you apply:CV ScreeningTalk with our recruiter to get to know your motivation & your experience2-3 Business InterviewsOfferTransform the everyday with us.We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.Public Notice: Recruitment FraudWe wish to caution jobseekers that Siemens, as a policy, does not authorize external parties/agents to conduct employment drives or extend Offers of Employment on our behalf. We do not ask for bank details, payment of any kind nor personal financial information in return for assurance of employment. Please visit our job portal for all Siemens job openings, and apply via the portal.

AI Strategy and Vision Develop a comprehensive AI and data science strategy that aligns with the company's objectives and long-term vision. Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making. Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables. Data Analysis and Modeling Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer visionEnsure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluationEvaluate and select appropriate tools, technologies and frameworks for data analysis and modelingEstablish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholdersCreate repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data productsInnovation and Research Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organizationRegularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior managementUse data-driven insights to propose improvements and optimizations to existing processesData PrivacyEnsure compliance with data privacy regulations and ethical guidelines throughout all data science activitiesImplement data protection measures and maintain confidentiality of sensitive informationIdentify potential risks and challenges associated with AI projects and data science initiatives RequirementsBachelor's or Master's Degree in Computer Sciences / Data Science/ AIMinimum 5-8 years of experience in a similar environment Industry certifications preferredStrong background in machine learning, statistical analysis, and data visualization

Beam's engineering team is building the core infrastructure for self-learning agents, turning AI into reliable, production-grade systems. We work across the full stack, from frontend to infra, solving for real-time orchestration, tool integration, and complex workflow execution. This is a high-trust, high-impact environment where engineers move fast, ship often, and help shape both the product and the platform as we scale. If you care about building with clarity, speed, and depth, you'll do your best work here. To learn more, visit https://beam.ai/.About The TeamBeam's AI Agent Deployment team sits at the intersection of AI, product, and client impact. We partner closely with customers to understand their workflows, design intelligent automation solutions, and ensure our agents deliver real business value. Our work spans workflow design, agent configuration, technical integration, and ongoing optimization. We collaborate with engineering, ML, and product teams to translate abstract problems into scalable, agentic systems that work in the real world. This is a high-context, high-ownership environment where Deployment engineers operate with autonomy, move fast, and shape both how Beam's platform evolves and how our customers succeed.About The RoleAs a Senior Solutions Engineer, you'll sit at the intersection of AI, product, and customer success. You own the full lifecycle of automation delivery, from discovery through deployment, working directly with enterprise clients to turn complex workflows into scalable, AI-powered solutions using Beam's Agent OS.This is a high-context, high-ownership role. You'll spend your time in client conversations, prompt engineering, workflow decomposition, integration planning, and close collaboration with product and engineering. You'll shape not just individual client outcomes but the platform itself through structured feedback from the field.ResponsibilitiesYour work will involve both prompt engineering excellence and close customer collaboration. You will be expected to:Partner with enterprise customers to identify automation opportunities, gather requirements, and translate business problems into agent-powered solutionsDesign and build agentic automations using Beam's Agent OS. This includes scoping workflows, engineering prompts, and configuring integrationsManage delivery end-to-end: timelines, client expectations, and stakeholder communication across technical and executive audiencesTroubleshoot and iterate on live automations by diagnosing issues, refining prompts, and improving performanceCollaborate with product and engineering to scope features, surface platform gaps, and feed customer insights back into the roadmapAct as a strategic advisor to clients on AI adoption, workflow automation best practices, and integration architectureRequirements2-3 years in a client-facing technical role such as Solutions Engineer, Implementation Consultant, Deployment Engineer, Customer Engineer, or similarStrong project management and communication skills. You can run delivery timelines, manage client expectations, and explain technical concepts clearly to both engineers and executivesDemonstrated prompt engineering expertise. You've systematically written, tested, and optimized prompts in production or near-production settingsExperience automating workflows with AI. You've used AI to automate real business processes, not just experimented in sandboxesSolid API knowledge and integration experience. You're comfortable scoping and coordinating API-based integrations with external systemsAnalytical, process-driven thinking. You can take a messy business workflow, break it into structured components, and design an automation approachNice to HaveAI/ML background or hands-on experience applying AI to business workflowsExperience in a fast-paced startup environmentHow We HireOur process includes a case study where you'll work on a realistic automation challenge: designing an extraction prompt, building a project plan, and presenting your approach. We want to see how you think, not just what you knowBenefitsAt Beam, we're building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We're thoughtful about what we build, how we work, and who we hire. The problems we're solving are real. The systems we're building are complex. And the people here care deeply, about craft, about speed, and about doing work that actually matters. You won't find rigid hierarchies or endless process here. You'll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.Our culture is shaped by our values in action:AI-native thinking: Every teammate thinks in agentic workflows, uses AI tools daily, and looks for leverage through automation. AI isn't just what we build, it's how we operateCustomer obsession: We build with urgency and empathy, speak to customers early and often, and measure success through their outcomesSpeed as a habit: We ship fast, learn faster, and prioritize unblocking over perfection. We favour small experiments with tight feedback loopsLeverage-focused execution: We hire high-impact players, invest in the 20% that drives 80% of results, and value candid feedbackHighly aligned, loosely coupled: We align on outcomes, not tasks. You'll work independently, but never in isolationData-driven, human-guided: We seek clarity over comfort, speak up early, and use feedback to grow togetherIf this sounds like the kind of work you want to do and the kind of team you want to grow with, we'd love to hear from you!

The roleHoxton Wealth is a global financial services firm with offices in key locations, including Cyprus, the United States, the United Kingdom, Dubai, South Africa, Australia & Asia. The company leverages a tech and tax-led approach to financial planning, combining innovative technology solutions with deep expertise in tax-efficient strategies to deliver comprehensive wealth management services. With over $4 billion in assets under management (AUM), Hoxton Wealth is committed to helping clients achieve their financial objectives through personalized investment solutions, cross-border financial planning, and long-term strategies for wealth growth and preservation. We are looking for a Product Manager to join our Dubai-based technology team. You will own product across multiple areas including client-facing experiences, back-office tooling, and integrated workflows that connect the two. Increasingly, these products will incorporate AI-powered capabilities. This is a hands-on role. You will need the ability to wear multiple hats, partnering with engineering, design, operations, and advisory teams across the organisation to ship high-quality product quickly. The team is small, moves fast, and operates across multiple jurisdictions. Successful candidates will demonstrate strong execution skills, technical fluency, and the ability to work across a broad product surface area without losing quality or momentum. ResponsibilitiesOwn the end-to-end product lifecycle from discovery through delivery and iteration across client-facing, back-office, and integrated workflow products Write clear, actionable specifications at the right level of detail for the audience and complexity at hand Work closely with engineering, design, and QA to deliver features on schedule and at a high quality bar Define success metrics and instrumentation for every feature shipped; analyse results post-launch and recommend next steps Lead user research to understand both client needs and internal user requirements in depth Prioritise between feature requests, architectural improvements, and operational excellence based on business impact Identify and resolve process conflicts, feature creep, and programme issues quickly and efficiently Collaborate with stakeholders across the business globally, ensuring alignment and managing competing priorities Define and communicate product vision, strategy, and roadmap for your areas of ownership Establish and run AI evaluation processes, including offline and production evals, to assess output quality and detect regressions. Design and improve AI-assisted workflows, including human-in-the-loop review, approvals, and audit trails. Collect and act on user feedback from multiple channels and proactively communicate status and progress to leadership Requirements3–5 years of product management experience, ideally with exposure to both internal tools and customer-facing products Strong product execution: able to write tight specs, manage delivery through complexity, and QA rigorously before launch Technically literate: comfortable with APIs, data models, and system integrations; able to have productive conversations with engineers and make informed trade-off decisions Strong analytical skills with hands-on ability to define instrumentation, run ad hoc queries, and use data to drive decisions Good UX sensibility: able to assess a design, articulate what needs improvement, and create wireframes or low-fidelity mocks to communicate thinking Outstanding written and verbal communication skills; able to tailor the message for engineers, leadership, and business stakeholders Highly organised, with the ability to manage multiple product areas simultaneously in a fast-paced environment Proven ability to deliver results through influence without authority across cross-functional and regional teams Experience with or strong interest in AI/ML product development Proficiency in tools such as Jira, SQL, and modern analytics platforms Prior experience in fintech, financial services, or CRM/enterprise platforms is beneficial but not required Proven adaptability to differing cultural and business environments; experience working on global products is also beneficial

We help the world run betterAt SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.What You'll BuildIn this role, you'll define the architecture for intelligent, enterprise-grade applications and platforms with AI built into the core design rather than added as an afterthought.You'll shape end-to-end solutions across application services, integration layers, data architecture, event-driven systems, security, and AI/ML components. That includes designing patterns for model integration, batch and real-time inference, feature and data pipelines, vector search, LLM orchestration, agent frameworks, evaluation services, and responsible AI controls.You’ll guide teams on scalability, resilience, interoperability, observability, privacy, and compliance, and ensure architecture choices support both near-term delivery and long-term platform evolution.Your work will directly influence how quickly engineering teams can build, govern, and scale AI-enabled capabilities across products and customer scenarios.What You BringYou bring deep expertise in software architecture for large-scale distributed systems, including microservices, event-driven patterns, APIs, integration layers, and data platformsYou have a strong understanding of AI and ML system architecture, including training pipelines, inference layers, model lifecycle design, and ML platform capabilitiesYou have experience designing enterprise-grade generative AI solutions using LLMs, embeddings, vector databases, RAG patterns, tool use, and orchestration frameworksYou are skilled at designing scalable and secure application architectures that integrate transactional systems, analytical platforms, and AI-powered servicesYou have strong knowledge of cloud-native architecture, including containers, Kubernetes, infrastructure automation, observability, resilience, and performance engineeringYou have experience defining reference architectures, design standards, and reusable technical patterns for AI-enabled product developmentYou bring a strong understanding of data architecture, governance, metadata, privacy, and access patterns required to support trustworthy AI solutionsYou evaluate build-versus-buy decisions across models, platforms, data services, and integration tooling, clearly articulating technical and business trade-offsYou have knowledge of responsible AI, model governance, security controls, compliance requirements, and architectural guardrails for safe enterprise adoptionYou have experience leading architecture reviews, influencing engineering roadmaps, and aligning technical direction across multiple teams or product areasYou communicate complex architectural decisions clearly to engineers, product leaders, and executive stakeholdersAbout YouYou bring 6+ years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systemsYou think in systems, with a strong ability to connect architecture decisions to broader platform strategy and business outcomesYou are a technical leader who influences without authority and drives alignment across teams and organizationsYou are passionate about building robust, extensible systems that stand the test of timeYou stay current with emerging technologies, particularly in AI, cloud, and distributed systemsWhere You BelongYou will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.About The TeamWe work across boundaries, help teams make better design choices, and build foundations that let AI products scale safely and efficiently. We value clarity, system thinking, and practical innovation.Bring out your bestSAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.We win with inclusionSAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.Successful candidates might be required to undergo a background verification with an external vendor.AI Usage in the Recruitment ProcessFor information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.Please note that any violation of these guidelines may result in disqualification from the hiring process.Requisition ID: 450270 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:

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. ________________________________________