Your AI career in the UAE starts here

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. 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

As a Full-Stack + AI Engineer, you’ll own verticals from UI to backend to AI pipelines. You’ll be at the core of how users talk to BOTty, get suggestions, and trust automation. Frontend Desktop/Cloud/AR mobile interface for fallback control Secure web portal for automation editing, logs, and remote access Explainability UI: “Why did BOTty do this?” Backend Local-first backend for event logs, ZeroConf device discovery, and API routing Authenticated SSL tunnel gateway (no cloud relay)Real-time routines, preferences, and presence tracking AI & Automation Build and fine-tune agentic routines (Learn → Observe → Adapt → React) On-device ML for micropatterns, low-latency NLU, and safety checks Personalization ledger, feedback loops, and bandit-style decision tuning Our Stack Frontend: React, Lit, Next.js, Tailwind, Shadcn UI Backend: Python, FastAPI, Node.js, SQLite, PostgreSQL, Mongo DB, TLS tunnels AI: CrewAI, LangChain, LlamaIndex, ONNX, OpenAI API Infra: RPi 5, Jetson, Cloud DevOps: Docker, DevContainers, GitHub Actions, OTA modules, local-only CI Requirements Our Stack Frontend: React, Lit, Next.js, Tailwind, Shadcn UI Backend: Python, FastAPI, Node.js, SQLite, PostgreSQL, Mongo DB, TLS tunnels AI: CrewAI, LangChain, LlamaIndex, ONNX, OpenAI API Infra: RPi 5, Jetson, Cloud DevOps: Docker, DevContainers, GitHub Actions, OTA modules, local-only CI Have built and shipped agentic AI apps, ML-driven products, or full-stack SaaS Love debugging both frontend microinteractions and low-level sensor events Are comfortable working on hardware like Jetson/RPi, or eager to learn Enjoy working across disciplines — AI, UX, home automation, privacy Can take vague product ideas and make them real, fast Bonus if You… Won or placed in hackathons Built your own SaaS product(s) or dev tools Know Zigbee, BLE, Matter, or embedded Linux Have contributed to open-source AI or Web3 projects Enjoy voice UX, reactive UI, or agent architectures Benefits Competitive compensation + equity Work directly with founding team on product 0 → 1 Build something with lasting impact, privacy-first Fast-paced, respectful, async-friendly team culture 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

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. Show more Show less

Location: Remote (Work from Anywhere)Job Type: Contract / FreelanceJob OverviewWe are looking for Image Reinforcement Learning (RL) Experts to work on a cutting-edge AI project focused on improving image-based machine learning systems. The role involves designing tasks, datasets, and evaluation frameworks to enhance AI model reasoning and performance in image-related applications.This is a remote, project-based opportunity ideal for professionals with strong experience in computer vision, reinforcement learning, and AI model evaluation.Key ResponsibilitiesDevelop and implement reinforcement learning approaches for image-based tasksDesign training datasets and evaluation benchmarks for image AI modelsAnalyze and improve model performance in image recognition and visual reasoningWork with machine learning pipelines for image classification, detection, and segmentationCollaborate with AI researchers to improve model accuracy and decision-makingCreate clear documentation of workflows, datasets, and evaluation methodsRequired QualificationsBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fieldStrong experience with Reinforcement Learning (RL)Hands-on experience with Computer Vision / Image ProcessingExperience With Python And ML Frameworks Such AsPyTorchTensorFlowOpenCVKnowledge of deep learning models for image analysis Show more Show less