Your AI career in the UAE starts here

We are seeking a forward-thinking Senior Manager of Artificial Intelligence who has successfully transitioned beyond traditional machine learning to architect and deploy modern Generative AI and Agentic systems. You will not just be managing models; you will be building autonomous ecosystems. We need a hands-on leader who has a proven track record of taking complex LLM-driven solutions from conceptual wrappers to robust, production-grade agentic workflows that drive measurable enterprise value.What You’ll DoDrive Next-Gen Strategy: Own the enterprise AI roadmap with a heavy emphasis on Generative AI, autonomous agents, and applied Large Language Models.Orchestrate Agentic Ecosystems: Lead the design and deployment of multi-agent systems, orchestrating specialized AI agents (e.g., intelligence routing, operational execution, and system coding tasks) governed by centralized monitoring dashboards.Ship to Production: Guide cross-functional engineering teams to move GenAI proofs-of-concept into reliable, scalable, and secure production environments.Champion LLMOps: Establish the infrastructure required for modern AI, including advanced RAG (Retrieval-Augmented Generation) pipelines, vector databases, and continuous agent evaluation.Ensure AI Governance: Implement strict guardrails for Generative AI, focusing on algorithmic transparency, data privacy, security, and prompt injection mitigation.What You BringBackground: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related highly technical field.Experience: 15+ years in technology or engineering roles, with recent, dedicated leadership experience explicitly focused on deploying Generative AI and Agentic solutions into production.Modern AI Expertise: Deep, practical knowledge of LLM architectures, fine-tuning methodologies, and multi-agent orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI).Infrastructure Acumen: Strong understanding of the modern AI stack, including vector databases, cloud-native deployments, and LLMOps practices.Leadership: Proven ability to demystify complex GenAI concepts for executive stakeholders, secure buy-in, and mentor high-performing teams of modern AI engineers.

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.

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

Sia is a specialist Management Consulting firm born in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly oriented towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception. Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons. With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19 countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service. Sia is an equal opportunities employer, committed to diversity, inclusion, and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in. Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars: Women@Sia, Multi-Ethnic, Well-being, and Environment. In the Middle East, Sia provides expert advisory services on strategy & execution, innovation, operational performance & cost reduction, cyber & data security, efficient organisation, transformation & change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners’ world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.Why join the Sia Village? Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee WellbeingThese are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.Job DescriptionSia is seeking a motivated and analytical UAE National with a background in Data Science, Artificial Intelligence, or related fields to join our consulting team in the Middle East. This role is ideal for fresh graduates or candidates with up to 1 year of experience who are passionate about leveraging data and AI to solve complex business challenges.You will work closely with senior consultants and clients to support strategy development, data analysis, AI use-case identification, and digital transformation initiatives.Key ResponsibilitiesSupport consulting engagements across strategy, digital transformation, and AI initiativesAnalyze structured and unstructured data to generate actionable insightsAssist in identifying AI and automation opportunities for clientsDevelop dashboards, reports, and presentations for client stakeholdersConduct market research, benchmarking, and industry analysisSupport development of business cases for AI-driven solutionsParticipate in client meetings and workshopsPrepare high-quality presentations and documentationQualificationsUAE National Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Engineering, or related field0–1 year of experience (consulting exposure preferred)Strong analytical and problem-solving skillsBasic understanding of machine learning concepts and data modelingFamiliarity with tools such as Python, SQL, Power BI, Tableau, or similarStrong communication and presentation skills (Arabic & English is a must)High motivation to build a career in management consultingAdditional InformationJoining Sia means integrating into a globally recognized firm that fosters personal growth through our unique Sia Village concept, which promotes a community-driven culture reinforced by values of Excellence, Entrepreneurship, Innovation, Teamwork, Care & Support, and Employee Wellbeing, ensuring a fulfilling career path. What a career at Sia offer you? Competitive compensation: an competitive salary and benefits package, benchmarked against the market to ensure the most competitive offers. Entrepreneurial spirit: Join us on an entrepreneurial journey that not only fosters innovation but also empowers you to drive your own success. Dive into a culture where your ideas shape the future. Tailored career advocacy program: Receive dedicated support designed to help you achieve your professional aspirations. Our program pairs you with mentors who provide actionable feedback, ensuring continuous progress and success in your career path.Continuous growth: Engage with ongoing opportunities for learning and development, particularly in new and emerging topics. Stay ahead of the curve by continually advancing your knowledge and skills. Our Commitment to Diversity At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. We are guided by the pursuit of understanding and take pride in being able to provide meaningful solutions to our clients’ unique challenges. We bring our whole selves to work and strive to listen, observe, understand and be understood. To learn more about our mission, values, and business sectors, please visit our website.Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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

Job DescriptionThe Research Assistant (RA) will work directly under the supervision of Dr. Osama Sohaib and contribute to the development and implementation of the CultureXAI framework for precision public health in the UAE. The RA will play a central role in key technical components of the project, including machine learning model development, explainable AI (XAI) implementation, open data analysis, and fairness and bias assessment across diverse population groups. The RA will be responsible for data preprocessing and integration from multiple health and demographic sources, designing and evaluating predictive models for non-communicable disease (NCD) risk, and applying XAI techniques (e.g., SHAP, LIME, counterfactual analysis) to generate interpretable and culturally-aware insights. The role also includes supporting the development of a prototype decision-support dashboard for policymakers and healthcare stakeholders. In addition, the RA will contribute to academic dissemination by assisting in the preparation of high-quality research publications (targeting Q1 journals), technical reports, and conference submissions, as well as supporting broader project dissemination activities. The position requires strong analytical, programming, and research capabilities, along with the ability to work effectively in an interdisciplinary research environment.Minimum Qualification PhD in Business Analytics, Statistics, Data Science, Machine Learning, Computer Science, or a closely related quantitative discipline. - Strong foundation in machine learning, data analysis, and statistics - Proficiency in Python (e.g., Pandas, Scikit-learn) - Experience in developing dashboards or web-based applications (e.g., Flask, Streamlit, React)Preferred Qualification PhD in Machine Learning, AI, Data Science, or a related discipline - Prior experience in healthcare analytics, public health data, or applied AI research - Familiarity with explainable AI techniques (e.g., SHAP, LIME, counterfactual methods) - Experience with advanced ML models (e.g., XGBoost, Neural Networks)Expected SkillsExperience: - 1–3 years (RA level) or 3+ years / PhD-level (Research Associate) - Experience working with real-world datasets and applied machine learning projects Technical Skill Set: - Machine learning: supervised/unsupervised learning, model evaluation, hyperparameter tuning - Explainable AI: model interpretability, feature importance, fairness and bias analysis - Programming: Python (required); familiarity with TensorFlow/PyTorch is a plus - Data handling: data cleaning, preprocessing, and multi-source data integration - Visualization: Matplotlib, Seaborn, Plotly, or dashboard tools (e.g., Streamlit, Flask) Research & Soft Skills: - Academic writing and contribution to publications - Literature review and analytical thinking - Ability to work independently and collaboratively in interdisciplinary teamsClose Date Kindly apply before the closing date.30/06/2026ApplyDepartmentDivisionGradePosting NumberPosition Number