Your AI career in the UAE starts here

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

Who WE are?KAVAK is the number one e-commerce in the purchase and sale of pre-owned vehicles with the fastest growth in Latin America. We work smart and make things happen, offering the easiest, safest and most transparent experience to buy or sell a car.But our journey doesn't stop there: at KAVAK our goal is global! Now our footprint extends to the vibrant GCC region as part of our expansion into the Middle East, in the pursuit of our one and only goal: to transform the automotive market around the world.Today we have more than 180 Kavakees on the GCC team and growing, surrounding ourselves with the best talent to continue building the technology, processes, and products that make us the number one player in the pre-owned car market.Wanna join us on this exciting ride?Job DescriptionWe are looking for a Trainee Data Analyst to support our Business Intelligence team in delivering reliable reporting and actionable insights to business stakeholders. The trainee will assist in maintaining dashboards and ensuring data accuracy across reporting processes.This role is ideal for someone interested in how data supports operational and strategic decisions across different departments.Key Responsibilities:Assist in preparing and maintaining recurring business reports and dashboards used by leadership and operational teams.Support data validation and quality checks to ensure accuracy and consistency in reporting.Extract and organize data from internal databases or reporting systems.Assist in documenting reporting logic, KPI definitions, and data sources.Monitor and troubleshoot issues in existing reports and dashboards.Support ad-hoc analysis requests from retail teams.Contribute to improving reporting efficiency through AI Proficiency.Skills and Qualifications:Degree in Business Analytics, Economics, Statistics, Engineering, Computer Science, or a related field.Strong proficiency in Sheets (pivot tables, lookups, general formulas).Basic understanding of SQL for data extraction (Basic test will be provided).Strong attention to detail and commitment to data accuracy.Commitment to improve as fast as possible.Advanced Problem Solving Skills (Requires Test for Final Interview).Do you want to be part of this story? Apply now! 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

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 Show more Show less

We are looking for a skilled AI Developer with strong Python expertise to design, develop, and deploy AI/ML solutions that solve real-world business problems. The role involves working with data, building models, optimizing algorithms, and integrating AI capabilities into applications and platforms.Key ResponsibilitiesDevelop, train, test, and deploy machine learning and AI models.Write efficient, scalable Python code for data processing, model development, and automation.Work with large datasets for data cleaning, feature engineering, and analysis.Design and implement NLP, computer vision, or predictive analytics solutions as required.Integrate AI models into production systems using APIs or microservices.Optimize model performance, accuracy, and scalability.Collaborate with data engineers, software developers, and business stakeholders.Monitor models in production and retrain as needed.Document technical designs, workflows, and model performance metrics.Required SkillsStrong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.Solid understanding of machine learning algorithms, statistics, and data structures.Experience with REST APIs, Git, and version control.Knowledge of data preprocessing, visualization, and model evaluation techniques.Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.Strong problem-solving and analytical skills.Preferred QualificationsExperience with deep learning, NLP, or generative AI frameworks.Exposure to MLOps tools, Docker, or Kubernetes.Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field. Show more Show less

Job DescriptionThe Desert Environment Research Center (DERC) at United Arab Emirates University is seeking a highly motivated Research Assistant to support its research on land degradation, soil erosion, and climate-related hazards in arid and semi-arid environments. The RA will work closely with the center’s faculty, postdoctoral researchers, and external partners to develop geospatial datasets, analytical models, and maps that inform sustainable land and water management in desert landscapes. The successful candidate will contribute to the integration of GIS, remote sensing, and data-driven modeling to assess soil erosion, flood and drought risk, groundwater vulnerability, and other environmental hazards relevant to desert ecosystems. The RA will assist in compiling multi-source spatial data (e.g., satellite imagery, digital elevation models, climate and hydrological data), developing and validating predictive models, and preparing high-quality maps, figures, and reports for scientific publications and applied projects. Key responsibilities include: Collecting, cleaning, and managing spatial and non-spatial environmental datasets related to land degradation, surface processes, and water resources in arid and semi-arid regions. Performing GIS-based analyses and remote sensing workflows (e.g., image classification, change detection, land-use/land-cover mapping, terrain analysis). Supporting the development and implementation of statistical, machine-learning, or physically based models for soil erosion, flood susceptibility, drought risk, or related hazards. Assisting in the preparation of scientific manuscripts, technical reports, presentations, and policy-relevant outputs. Contributing to field data collection and ground-truthing campaigns when required, and integrating field observations with geospatial analyses. Collaborating with an interdisciplinary team working on desert soil systems, ecosystem resilience, and sustainable land and water management.Minimum Qualification A completed Master’s degree in Geography, Environmental Science, Geomatics, Geoinformatics, Civil/Environmental Engineering, or a closely related field with a strong focus on GIS and remote sensing. Solid hands-on experience with GIS software (e.g., ArcGIS, QGIS) and remote sensing tools (e.g., ENVI, SNAP, or similar). Demonstrated experience in applying geospatial analysis to topics such as land degradation, soil erosion, natural hazards, hydrology, water resources, or climate-related environmental change. Good skills in quantitative analysis and handling large spatial datasets. Evidence of scientific writing ability (e.g., MSc thesis, reports, or publications). Ability to communicate effectively in English and to work in a collaborative, research-oriented environment.Preferred Qualification Experience with programming/scripting for geospatial analysis (e.g., Python, R, or MATLAB), including the use of machine-learning or statistical libraries for environmental modeling. Familiarity with handling and analyzing multi-temporal satellite imagery (e.g., Landsat, Sentinel, MODIS) for land-use/land-cover change, vegetation indices, drought monitoring, or similar applications. Previous research experience in arid or semi-arid regions, especially in topics related to soil erosion, land degradation, groundwater, or surface hydrology. A track record of peer-reviewed publications or conference presentations in relevant fields. Experience in integrating GIS/remote sensing with hydrological or geomorphological modeling.Expected Skills Early-career researcher with strong technical skills in GIS, remote sensing, and spatial data analysis. 0–5 years of post-Master’s research or professional experience; candidates with more experience and a strong publication record are also welcome to apply. Strong analytical and problem-solving skills, with the ability to design and implement geospatial workflows independently under supervision. Demonstrated ability to manage multiple tasks, meet deadlines, and document methods in a reproducible way. Excellent interpersonal skills and the ability to work as part of an interdisciplinary team addressing desert environment challenges.Close Date Kindly apply before the closing date.14/04/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less