AI Jobs in the UAE

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.

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

Job DescriptionThe mission of the research assistant is to participate intensively in research works that aim at solving Prediction modeling problems using LLM, RAG and LLM fine tuning. The candidate will be able to use Python library related to AI agent development, and LLM manipulation. In particular, the candidate should have experience with frameworks and tools like LangChain, LangGraph, LangSmith, etc. He should have a large knowledge of the spectrum of LLMs that help enhancing decision making. He/ She will be able to develop an AI agentic Application that need potentially Knowledge in LLM API, AI tools and software development. The position effective date is 15th of Jan 2026 or when the position will be filled and ends on 31st of December 2026 with the possibility of extension The salary will be determined and readjusted based on candidate’s skills evaluation and achievements.Minimum QualificationBachelor of sciencePreferred QualificationMaster of scienceExpected SkillsPython, Ai, Agentic Ai, Langchain, LangGraphClose Date Kindly apply before the closing date.30/06/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

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

Job DescriptionAbout Wynn Al Marjan Island:On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.About The PositionWynn Al Marjan Island is looking for a Data Scientist to join our Database Marketing team.ResponsibilitiesThe primary duties and responsibilities of this role are: Build, maintain and optimize predictive models for the Gaming Marketing Campaigns Prepare datasets for modeling: cleaning, transforming, feature engineering, and validating data sources Maintain documentation for model inputs, business rules, and assumptions Support campaign operations by producing analytical variables, flags, segments, and model driven attributes Perform ad hoc analysis to support marketing decision making Build and maintain performance dashboards and recurring reports for Models and Campaigns performance Work with the Campaign Manager to ensure model outputs are correctly used during targeting and list creation Collaborate with Loyalty Marketing and other business units to understand their data needs and provide analytical support Assist in test and learn initiatives (eg., A/B tests, offer calibration) through proper setup and data preparation Perform checks to identify anomalies, missing data, or unexpected trends Keep analytical workflows organized, reproducible, and documented Summarize findings clearly for non-technical stakeholders About You Master or Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related analytical field. +2 years of experience in data science and analytics (Gaming experience is a plus but not required). Strong Python and SQL skills for data manipulation and analysis. Experience with Machine learning models (experience with Databricks is a plus) Solid understanding of basic statistical concepts (regression, segmentation, clustering, sampling, validation) Experience working with large datasets and operational, recurring analytical tasks. High attention to detail with strong QA instincts. Ability to explain analytical outputs clearly to non‑technical stakeholders. Organized, reliable, and willing to handle operational and routine tasks as part of learning the gaming analytics environment. About Wynn Al Marjan Island’s BenefitsWe offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

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

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

Job DescriptionThe College of Information Technology (CIT), UAE University is looking to hire a faculty member in Cybersecurity and AI to further strengthen its current research programs and create new multidisciplinary research initiatives and partnerships, across and beyond the university campus, critical to its long-term stability and growth. About the Positions: We seek a faculty candidate with strong research records in the Cybersecurity and AI areas. Successful candidates are expected to complement and enhance current research at the College and contribute to the teaching of both undergraduate and graduate courses across programs. Candidates’ Qualifications: Candidates must hold a Ph.D. degree in Cybersecurity, Computer Science or a related area based on each advertised position from a reputable university. In addition, candidates must demonstrate: An established record of discipline specific research publications in Q1 journals and top conferences. Experience writing and securing research grants Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs. Only short-listed candidates will be contacted for interviews. The UAEU and CIT are committed to fostering a diverse, inclusive, and equitable environment and culture for students, staff, and faculty. For more information about CIT, please visit https://www.uaeu.ac.ae/en/cit/. Application Instructions: Applications must be submitted online at https://jobs.uaeu.ac.ae/ A completed application must include: A cover letter An up-to-date curriculum vitae; A research statement, describing current and future research; A teaching statement, describing teaching philosophy; and The names and contact information for at least three recommenders. About the UAEU: The United Arab Emirates University (UAEU), #229 in QS World University Rankings 2026, is committed to innovation and excellence in research and education. As the country’s flagship university, UAEU aims to create and disseminate fundamental knowledge through cutting-edge research in areas of strategic significance to the nation and the region, promote the spirit of discovery and entrepreneurship, and educate indigenous leaders of the highest caliberMinimum QualificationApplicants must have an earned doctorate in the applicable field. The ability to teach undergraduate courses is a must. Excellent research profile.Preferred QualificationExcellent research profileClose Date Kindly apply before the closing date.31/08/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

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

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

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.

Job DescriptionThe Computer Science and Software Engineering Department at UAE University is seeking a Research Assistant to contribute to a funded research project in the area of Arabic AI storytelling, Natural Language Processing (NLP), Machine Learning, and Generative AI. The successful candidate will work on the “Hakawati” project, which focuses on developing an interactive AI system for generating and narrating Arabic stories for children (ages 5–12). The role includes participation in research activities such as reading, analysis, and writing research papers. Additionally, the candidate will work on Arabic language data processing, training and evaluating deep learning models for story generation, and integrating multimodal components such as text-to-speech and image generation. The position may also involve parameter tuning, model calibration, and system testing.Minimum Qualification BS or MS in Computer Science, or related fields 2. Strong background in Machine Learning, NLP, and AI 3. Proficiency in Python 4. Ability to work independently and collaboratively in a research environment 5. Excellent communication and organizational skillsPreferred Qualification Master’s degree in Computer Science or related field 2. Experience with Arabic NLP or Arabic language technologies 3. Familiarity with large language models (LLMs), generative AI, or deep learning 4. Experience in data collection, processing, and dataset construction 5. Publications or conference presentations in relevant research areasClose Date Kindly apply before the closing date.30/06/2026ApplyDepartmentDivisionGradePosting NumberPosition Number

The Laboratory for Computer-Human Intelligence in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a motivated Research Assistant to work on cutting-edge machine learning / artificial intelligence / data science applications that utilize human signals (e.g. text, audio, physiology).The RoleThe Research Assistant will work on research projects in the Laboratory for Computer-Human Intelligence under the direction of the Principal Investigator Tuka Alhanai. Research projects range from implementing machine learning algorithms that measure cognitive outcomes, to visualizing patterns that map population-level health and well-being. The Research Assistant is expected to develop creative solutions to day-to-day technical challenges, think critically about meaningful next steps in the research process, and lucidly relay their thoughts, insights, and conclusions to high-level executive audiences and technical peers. It is not expected that the applicant be perfect at these tasks, but will motivated and self-driven to develop the necessary skills to master the role of a researcher.Key ResponsibilitiesIn the capacity of a researcher, the individual is expected to generally conduct the following activities. The specifics are dependent on the nature of the project they work on.Data Curation: Develop data ingestion engine(s) (appropriate for the data type) to organize the data that simplifies processing conducted with the data. Researcher will utilize any of sensors, front-end web-based applications, and databases to collect and organize data.Multimodal Signal Processing: involves processing data of different types (e.g. audio, text, physiology, image, movement), using computational methods. Most data is noisy and needs to be cleaned and reduced into a salient representation.Machine Learning: involves applying algorithms to automatically detect patterns in data and model outcomes of interest. Many if the latest modeling approaches are little understood, and require computational power to digest information beyond what humans are able to process.Visualization: Representation of data and results in the form of plots, charts, and images. This helps convey to technical peers as well as the general public what contributions the work makes to knowledge. It is expected that this be rendered statically and/or dynamically in a web framework.Documentation: involves structuring above work in a (a) software repository, (b) comprehensive comments in software, (c) development of a clear README, (d) journal/conference paper*, and (e) corresponding project website. This ensures work is reproducible and accessible to both technical peers and the general public.researcher should target top-100 publications here: http://www.guide2research.com/topconf/Technical ExperienceThe successful applicant will have the following technical experience in:The development of end-to-end applications (e.g. databases, algorithms, visualizations).Processing one or more data types/signals (e.g. text, audio, images, physiology).Applying machine learning algorithms (e.g. regression, neural networks).Utilizing the following programming languages/frameworks: bash, SQL, Python, HTML, Javascript, and Tensorflow/Pytorch, as well as source code version control (git).Authoring peer-reviewed scientific papers.AttitudeThe successful applicant should be self-driven and interested in the general domain of machine learning (e.g. latest ideas, research findings, research tools), contain a scientific curiosity for formalizing the underlying mechanisms of the observable world (e.g. do we make conclusions based on the words in speech, or intonation of speech?), and is passionate about creating timeless systems, with an attention to detail and zeal for quality.Further InformationFor a sense of work performed in the lab, explore this portfolio: https://talhanai.xyz/projects.htmlThe DivisionEngineering research at NYU Abu Dhabi crosses the boundaries of traditional engineering disciplines and encompasses broad interdisciplinary areas that embody key characteristics of our age. In the face of global competition, dwindling natural resources, and the complexity of societal needs, the leaders of technological enterprises will be those who can innovate, are inventive and entrepreneurial, and understand how technology is integrated within society.About NYUADNYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.UAE Nationals are encouraged to apply.Educational ExperienceThe successful application will have a Bachelor’s (ideally Master’s) degree in Computer Science (or equivalent major; Mathematics, Physics, Engineering, Economics, etc.).Applications Will Be Considered On a Rolling Basis Until The Position Is Filled. An Applicant That Passes The Review Process Will Be Accepted Immediately. To Be Considered, All Applicants Must Submit In PDF FormatCover letter.Curriculum Vitae.Transcript of degree.Two letters of recommendation.Additional Program InformationUAE nationals are encouraged to applyThis position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.htmlKawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)UAE nationals are encouraged to applyThis position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.htmlFor further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)Equal Employment Opportunity StatementFor people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdprNYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

Job Title: AI Content Evaluation SpecialistJob Type: ContractorLocation: Remote (US/Canada/LATAM)Job SummaryJoin our customer's team as an AI Content Evaluation Specialist and play a vital role in ensuring AI-generated content aligns with community guidelines and safety standards. This expert-level position offers the opportunity to influence how advanced AI systems interpret and interact with online content while working remotely with a diverse team.Key ResponsibilitiesAssess and moderate AI-generated images and text for compliance with safety and content guidelines.Identify, flag, and report potentially harmful or inappropriate materials across various platforms.Collaborate with cross-functional teams to refine content evaluation procedures and ensure continuous improvement.Analyze emerging trends in social media and user-generated content to inform evaluation protocols.Document findings and provide clear, actionable feedback to development teams.Stay updated on the latest advancements in AI, content moderation, and digital safety practices.Contribute to the development and maintenance of internal best practices and knowledge bases.Required Skills And QualificationsProven experience in content moderation, digital safety evaluation, or a related field.Strong social media literacy with a keen awareness of community guidelines and platform-specific standards.Advanced skills in analyzing both visual and textual content for compliance and safety risks.Exceptional written and verbal English communication skills, with meticulous attention to detail.Ability to provide clear, concise, and constructive feedback.Comfort working independently and as part of a remote, collaborative team.Excellent critical thinking and problem-solving abilities.Preferred QualificationsExperience working with AI or machine learning-driven content moderation tools.Background in psychology, communications, or a related discipline.Demonstrated passion for digital safety and ethical content evaluation.

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.

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

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