Your AI career in the UAE starts here

EXO ARNVIND is exclusively scouting for a high-impact Head of AI Engineering for a major retail powerhouses in the UAE.Our clients is undergoing an ambitious, board-sponsored digital transformation to become "AI-first" enterprises. This is not a maintenance role; it is a mandate to build the organization’s "digital nervous system" from the ground up, with significant investment and executive-level backing.The RoleAs the Head of AI Engineering, you will own the long-term AI roadmap for the next decade. You are the bridge between visionary strategy and deep technical execution across retail, supply chain, and digital commerce.Strategic Leadership: Set and execute the enterprise-wide Data & AI strategy, identifying high-value use cases that drive measurable ROI.Full-Stack Build: Architect and scale the entire AI environment—from GPUs and Lakehouses to MLOps, Vector Databases, and SLMs.Innovation Engine: Lead cross-functional teams to build prototypes and move breakthrough solutions from concept to enterprise-wide adoption.Responsible AI: Establish governance frameworks for responsible AI usage and lead enterprise-wide upskilling initiatives.Operational Excellence: Deploy automation and advanced analytics across finance, customer experience, and physical logistics.Profile RequirementsWe are looking for a heavyweight leader with a "builder" mindset and a track record of scaling AI in complex environments.Experience: Minimum 12+ years in Data, AI, and Machine Learning, with proven success leading enterprise-scale programs.Deep Tech Stack: End-to-end expertise in AI lifecycle management, GenAI, retrieval systems, and domain-specific LLMs/SLMs.Innovation Background: Experience with AI product development, patents, or startup environments is highly valued.Physical AI: Demonstrated work in Robotics or Physical AI integration is a significant advantage given the retail/supply chain focus.Leadership: Ability to partner with C-suite executives to drive cultural and technological transformation.What’s in it for you?This is a high-visibility role in one of the world's fastest-growing tech hubs. Show more Show less

MBZUAI is seeking an Executive Director to provide overall vision, leadership, and strategic direction for the Institute for Agriculture & AI (IAAI). The Executive Director is responsible for shaping and executing the Institute’s mission at the intersection of artificial intelligence, agriculture, and sustainability. The role oversees strategy development, institutional management, partnership building, and resource mobilization, while representing the Institute to funders, government entities, industry partners, and the global research community. The Executive Director ensures the Institute’s long-term impact, relevance, and financial sustainability. Key ResponsibilitiesStrategic Leadership and VisionDefine and lead the Institute’s long-term vision, strategy, and priorities at the intersection of artificial intelligence, agriculture, and sustainability, in alignment with MBZUAI’s mission and global agendas.Translate complex agricultural and food-system challenges into AI-driven research, innovation programs, and scalable solutions with measurable impact.Position the Institute as a globally recognized center of excellence for responsible and impactful AI applications in agriculture.Institutional Management and GovernanceProvide executive oversight of the Institute’s research, infrastructure, partnerships, and operational functions, ensuring effective governance, accountability, and performance management.Establish and oversee planning, budgeting, and reporting frameworks to ensure financial sustainability and institutional resilience.Ensure alignment with policies, governance structures, and strategic priorities.Research Enablement and Cross-Functional CoordinationWork closely with research leadership, data engineers, technical teams, and operations functions to align infrastructure capabilities with scientific objectives and emerging research needs.Provide strategic input into infrastructure roadmaps, technology investments, and capacity planning to support the Institute’s long-term growth and impact.Partnerships, Fundraising, and External EngagementAct as the primary representative of the Institute to governments, donors, industry partners, and international organizations.Lead resource mobilization efforts, including fundraising, grants, and strategic partnerships that support research, infrastructure (e.g. HPC), and impact objectivesAcademic Qualifications RequiredA minimum of advanced degree in technology, development, agriculture, science, economics, public policy, or related fields.PhD is desirable but not mandatory where equivalent senior leadership experience is demonstratedProfessional Experience RequiredEssential:Proven senior leadership experience at the intersection of technology, agriculture, and development, ideally within regional or global, multi-country environments.Significant experience engaging at senior levels with governments, ministers, regulators, private sector leaders, donors, and international organizations.Strong understanding of cultural, political, and socio-economic contexts in low and middle-income countries (LMICs) and their implications for agricultural innovation and technology adoption.Excellent communication, negotiation, representation, and public speakingskills, with the ability to influence across sectors and disciplines.Preferred:Proven track record in building, leading, and sustaining multi-stakeholder partnerships involving governments, donors, research institutions, industry, and civil society.Experience managing research-to-impact pipelines, including the translation of research outputs into field deployment, policy uptake, or scalable solutions.Familiarity with cross-cutting themes such as gender inclusion, climate resilience, and sustainability within agricultural innovation and development programs. Show more Show less

Not just a job, but a careerYokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.About The TeamOur 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.Job PurposeWe are seeking a highly skilled AI/ML Engineer with expertise in Data Science to design, implement, and deliver advanced AI-driven solutions for the Oil & Gas and Petrochemical industries. The ideal candidate will possess strong technical skills in Python, machine learning, and data analytics, combined with the ability to collaborate with cross-functional teams and engage with customers to solve complex business challenges. The individual is also responsible for owning AI/ML business outcomes and implementation strategy while supporting Digital Enterprise Business Unit / Solution Division in developing a differentiation in a high-growth competitive environment in Yokogawa Middle East & Africa region.Key Responsibilities & AccountabilitiesImplement AI/ML solutions using Python and perform data analysis in collaboration with CoE solution architects with Oil & Gas domain expertise.Conduct technical analysis leveraging AI/ML technologies and Data Science skills, including gathering requirements, performing gap analysis, and identifying opportunities to apply AI/ML to solve customer challenges.Provide guidance on suitable AI/ML and data analytics solutions, and support business portfolio management, solution design, and demonstrations.Ensure client expectations are clearly understood and met through the application of AI/ML and Data Science solutions.Manage the timely and high-quality completion of assigned deliverables.Ensure adherence to AI/ML and Data Science best practices and methodologies throughout project execution.Offer expert knowledge and experience to estimate the technical effort required for implementing complex AI solutions.Qualification And ExperienceBachelor’s degree in Engineering or Computer Science with a focus on AI/ML/Data Science, plus a minimum of 2 years of industry experience in AI-based software development or related engineering disciplines.Willingness and ability to travel across the Yokogawa Middle East & Africa region.SkillsStrong communication skills, collaborative mindset, and ability to energize and work effectively within a team.Proficiency in Python programming with demonstrated experience in implementing AI/ML solutions.Solid understanding of machine learning concepts (e.g., Supervised, Unsupervised Learning, Reinforcement Learning, Large Language Models) and hands-on experience applying algorithms such as Linear Regression, K-Means, Support Vector Machines, XGBoost, etc in Python.Comprehensive knowledge of Data Science, including statistical analysis, machine learning, and data visualization techniques.Experience with cloud-based machine learning platforms (e.g., Azure ML Studio, AWS SageMaker) is a plus.Familiarity with Oil & Gas, Petrochemicals, or specialized chemical domains is an advantage.Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.Are you being referred to one of our roles? If so, ask your connection at Yokogawaabout our Employee Referral process! Show more Show less

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

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

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role:Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available. Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount of available compute. You will be part of the team that works with latest open and closed generative AI models to optimize for the Cerebras inference platform. Your responsibilities will include working on model representation, optimization and compilation stack to produce the best results on Cerebras current and future platforms.  Responsibilities:Analysis of new models from generative AI field and understanding of impacts on compilation stackDevelop and maintain model definition framework that consists of model building blocks to represent large language models based on PyTorch and Cerebras dialects ready to be deployed on Cerebras hardware.Develop and maintain the frontend compiler infrastructure that ingests PyTorch models and produces an intermediate representation (IR).Extend and optimize PyTorch FX / TorchScript / TorchDynamo-based tooling for graph capture, transformation, and analysis.Collaboration with other teams throughout feature implementationResearch on new methods for model optimization to improve Cerebras inference Qualifications:Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional abilityStrong Python programming skills and in-depth experience with PyTorch internals (e.g., TorchScript, FX, or Dynamo).Solid understanding of computational graphs, tensor operations, and model tracing.Experience building or extending compilers, interpreters, or ML graph optimization frameworks.Experience working with PyTorch and HuggingFace Transformers libraryKnowledge and experience working with Large Language Models (understanding Transformer architecture variations, generation cycle, etc.)Strong C++ programming skills.Knowledge of MLIR based compilation stackPreferred QualificationsPrior experience contributing to PyTorch, TensorFlow XLA, TVM, ONNX RT, or similar compiler stacks.Knowledge of hardware accelerators, quantization, or runtime scheduling.Experience with multi-target inference compilation (e.g., CPU, GPU, custom ASICs).Understanding of numerical precision trade-offs and operator lowering.Contributions to open-source ML compiler projects.    Why Join CerebrasPeople who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.Work on one of the fastest AI supercomputers in the world.Enjoy job stability with startup vitality.Our simple, non-corporate work culture that respects individual beliefs.Read our blog: Five Reasons to Join Cerebras in 2026.Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice. Show more Show less