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ai/ml engineer

Brain Co.

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 based out of our Dubai office.

AI/ML Engineer, Deployed

Thales

Location: Dubai, United Arab EmiratesIn fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi s airport.JOB OBJECTIVE We are seeking a talented and enthusiastic AI/ML professional to join our team. This position is ideal for recent graduates or final year students in Computer Science or IT Engineering who are passionate about machine learning and artificial intelligence.The incumbent will play a key role in helping us define a solution to digitalize documents and develop a system capable of predicting qualifications based on database analysis.ROLES &amp; RESPONSIBILITIES Collaborate with senior officials to understand project requirements and goals.Assist in the development and implementation of a machine-learning model to process and digitalize various documents.Work on algorithms that analyze data from the digital documents to make predictions about qualifications.Perform data preprocessing and cleaning to ensure high-quality input for the machine learning models.Conduct experiments and evaluations to measure the effectiveness of different models and approaches.Document processes, methodologies, and findings for future reference and knowledge sharing.Present progress updates and findings to the team in a clear and concise manner.WORK EXPERIENCE REQUIREMENTS Solid understanding of machine learning concepts and algorithms.Experience with programming languages such as Python, R, or Java.Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.Knowledge of data preprocessing techniques and tools.Strong analytical and problem-solving skills.Excellent communication and teamwork abilities.Ability to learn quickly and adapt to new challenges.QUALIFICATION, CERTIFICATION &amp; EDUCATIONAL REQUIREMENTS Educational background in Computer Science, IT Engineering, or a related field.PREFERRED SKILLS Experience with natural language processing (NLP) and document digitalization.Understanding of database design and management.Familiarity with cloud services and deployment (AWS, Azure, GCP).Previous internship or project experience in AI/ML.HSE RESPONSIBILITIES*Ensure both your own safety and the safety of others at all times.Maintain an active role in achieving the objectives and adhering to the HSE Thales PolicyComply with local HSE laws and legislation.To use safety equipment (including PPE) as required and intended.Lead by example and actively encourage departments to look at ways to conserve water &amp; energy, minimise the generation of waste, and encourage recycling.Every one within Thales has the right to stop work if they believe that their activities may affect their health and safety or that of others. In this circumstance, such conditions must be reported immediately to their line manager and the HSE department.At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

Graduate AI/ML Engineer - UAE National

Michael Page

Architect and scale data pipelines using Azure Data Factory, Synapse, and DatabricksBuild AI/ML pipelines that power investment insights and automation toolsEngineer seamless data flows from trading systems, market feeds, and financial platformsDesign smart data models for analytics, risk, and compliance reportingCollaborate with investment teams to turn data into strategic advantageDrive performance, security, and cost-efficiency across cloud data systemsChampion data governance with robust documentation and access controls

AI Data Engineer

Client of Michael Page

<div> <div> <ul> <li> </li></ul></div></div><div><div><div> </div> </div> </div> <div> Job Description <div> <div> <ul> <li>Architect and scale data pipelines using Azure Data Factory, Synapse, and Databricks</li> <li>Build AI/ML pipelines that power investment insights and automation tools</li> <li>Engineer seamless data flows from trading systems, market feeds, and financial platforms</li> <li>Design smart data models for analytics, risk, and compliance reporting</li> <li>Collaborate with investment teams to turn data into strategic advantage</li> <li>Drive performance, security, and cost-efficiency across cloud data systems</li> <li>Champion data governance with robust documentation and access controls</li> </ul> </div> </div> </div> <div> The Successful Applicant <div> <div> <ul> <li>Strong expertise in Azure data services and Power BI</li> <li>Hands-on experience with LLMs and Generative AI (OpenAI, LLaMA)</li> <li>Skilled in RAG pipelines and vector databases (e.g. FAISS, Pinecone)</li> <li>Proficient in Python, SQL, and familiar with PySpark or Scala</li> <li>Experience with CI/CD and orchestration tools for data workflows</li> <li>Exposure to investment platforms like Bloomberg, FactSet, or Aladdin.</li> </ul> </div> </div> </div> <div> </div><div> </div>

Selfdrive

Job Role: AI Engineer- UAE BasedJob Summary:We are seeking a versatile AI Engineer to design, develop, and deploy AI-powered solutionsacross various business domains. This role requires a broad understanding of AI/MLtechnologies and the ability to translate business requirements into practical AI applications.Key ResponsibilitiesAI Solution Development<ul><li>Design and implement end-to-end AI applications from concept to production</li><li>Integrate Large Language Models (LLMs) and foundation models into business applications</li><li>Build RAG (Retrieval-Augmented Generation) systems and conversational AI interfaces</li><li>Develop autonomous AI agents and multi-agent systems for complex task automation</li><li>Implement MCP-compliant tool integrations for enhanced agent capabilities</li><li>Design agent-to-agent communication systems for collaborative problem solving</li><li>Create distributed agent networks with proper message passing and state synchronization</li><li>Design and implement AI workflows and orchestration pipelines for business processes</li><li>Create agentic systems with tool-calling, reasoning, and decision-making capabilities</li><li>Create proof-of-concepts and MVPs for AI-driven features</li><li>Develop computer vision, NLP, and predictive analytics solutions based on requirements</li></ul>Technical Implementation<ul><li>Write production-quality code in Python and relevant frameworks</li><li>Implement APIs and microservices for AI model serving</li><li>Build robust AI agents with error handling, retry logic, and fallback mechanisms</li><li>Design stateful workflows and agent coordination systems</li><li>Implement MCP (Model Context Protocol) for standardized tool integration</li><li>Build agent-to-agent communication systems for collaborative AI workflows</li><li>Develop protocol adapters for cross-platform agent interoperability</li><li>Implement tool integrations for agents (APIs, databases, external services)</li><li>Optimize model inference for latency and throughput requirements</li><li>Build data pipelines for model training and inference</li><li>Ensure scalability, reliability, and maintainability of AI systems</li></ul>Model Management<ul><li>Fine-tune and adapt pre-trained models for specific use cases</li><li>Implement prompt engineering strategies for LLM applications</li><li>Deploy models using cloud services (AWS, GCP, Azure) and edge devices</li><li>Monitor model performance and implement retraining pipelines</li><li>Manage model versioning and A/B testing frameworks</li></ul>Cross-functional Collaboration<ul><li>Work with product teams to identify AI opportunities and requirements</li><li>Collaborate with data engineers on data infrastructure needs</li><li>Partner with DevOps for CI/CD pipeline implementation</li><li>Communicate technical concepts to non-technical stakeholders</li><li>Document AI solutions and create technical specifications</li></ul>Required QualificationsEducation &amp; Experience<ul><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or related field</li><li>3-5 years of experience in AI/ML engineering or related roles</li><li>Proven track record of deploying AI solutions in production environments</li></ul>Technical SkillsCore Programming &amp; Frameworks<ul><li>Strong proficiency in Python and its AI/ML ecosystem (NumPy, Pandas, Scikit-learn)</li><li>Experience with deep learning frameworks (PyTorch, TensorFlow, or JAX)</li><li>Familiarity with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel)</li><li>Experience with AI agent frameworks (Langraph, AgentOps, Temporal)</li><li>Knowledge of MCP (Model Context Protocol) for tool and context management</li><li>Understanding of agent-to-agent communication standards and protocols</li><li>Experience with protocol bridges and agent interoperability solutions</li><li>Knowledge of workflow orchestration tools (Prefect, Dagster, Apache Airflow for AI</li><li>pipelines)</li><li>Understanding of function calling, tool use, and agent-environment interactions</li><li>Knowledge of web frameworks (FastAPI, Flask, or Django)</li></ul>AI/ML Expertise<ul><li>Understanding of machine learning algorithms and their applications</li><li>Experience with transformer models and attention mechanisms</li><li>Knowledge of AI agent architectures (ReAct, Chain-of-Thought, Tree-of-Thoughts)</li><li>Experience building autonomous agents and multi-agent orchestration systems</li><li>Familiarity with workflow automation tools and agentic frameworks (AutoGPT, CrewAI,</li><li>AutoGen)</li><li>Understanding of agent communication protocols (MCP - Model Context Protocol,</li><li>Agent-to-Agent protocols)</li><li>Experience implementing inter-agent communication and coordination mechanisms</li><li>Understanding of task planning, decomposition, and agent memory systems</li><li>Knowledge of computer vision techniques and frameworks (OpenCV, YOLO)</li><li>Familiarity with NLP techniques and libraries (spaCy, NLTK, Hugging Face)</li><li>Understanding of vector databases and embedding techniques</li></ul>Infrastructure &amp; Deployment<ul><li>Experience with containerization (Docker) and orchestration (Kubernetes)</li><li>Knowledge of ML deployment platforms (MLflow, Kubeflow, or SageMaker)</li><li>Familiarity with cloud AI services (OpenAI API, AWS Bedrock, Google Vertex AI)</li><li>Understanding of API design and RESTful services</li><li>Experience with version control (Git) and CI/CD pipelines</li></ul>Data &amp; Databases<ul><li>SQL proficiency and experience with relational databases</li><li>Knowledge of NoSQL databases (MongoDB, Redis)</li><li>Experience with vector databases (Pinecone, Weaviate, or Chroma)</li><li>Understanding of data processing and ETL pipelines</li></ul>Preferred QualificationsAdvanced Skills<ul><li>Master's degree in relevant field</li><li>Experience with MLOps practices and tools</li><li>Deep expertise in building production-grade AI agent systems</li><li>Hands-on experience with MCP implementation and custom MCP server development</li><li>Knowledge of agent-to-agent protocol design and implementation</li><li>Experience building federated agent networks and swarm intelligence systems</li><li>Expertise in cross-platform agent communication and handoff mechanisms</li><li>Experience with agent evaluation and testing frameworks</li><li>Knowledge of agent safety, alignment, and guardrails implementation</li><li>Experience with complex workflow orchestration and state management</li><li>Knowledge of distributed computing (Spark, Ray)</li><li>Familiarity with edge AI deployment</li><li>Experience with multimodal AI systems</li><li>Understanding of AI safety and responsible AI practices</li></ul>Domain Experience<ul><li>Experience in specific verticals (healthcare, finance, e-commerce, etc.)</li><li>Knowledge of regulatory requirements for AI systems</li><li>Experience with real-time AI applications</li><li>Background in data privacy and security</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical thinking abilities</li><li>Excellent communication skills for technical and non-technical audiences</li><li>Self-motivated with ability to work independently</li><li>Curiosity and passion for staying current with AI advancements</li><li>Experience mentoring junior team members</li></ul>Why Join Us:<ul><li>Cutting-Edge Work: Be part of a company that is redefining mobility tech through innovative solutions.</li><li>Collaborative Culture: Work alongside passionate engineers, product thinkers, and designers in a fast-paced environment.</li><li>Growth Opportunities: Get exposed to global projects, leadership responsibilities, and upskilling platforms.</li><li>Impact at Scale: Build technology that reaches thousands of users across the MENA region and beyond.</li><li>Employee-Centric Benefits: Competitive salary, visa support, and the opportunity to grow your career in a thriving tech ecosystem.</li></ul>If you're driven to create impactful mobile experiences and thrive in a fast-evolving tech environment, apply now and drive the future of mobility with us, - we want to hear from you!Apply Now &ndash; Send your CV to talent@self-drive.aeWorkplace Type: OnsiteApplication Open:Apply only if you can join us immediately or serving notice period.Location: B3, Office number 406, Dubai Commercity, Umm ramool, Al Rashidiya, Dubai, UAE.Job Types: Full-time, PermanentPay: Up to AED10,000.00 per month

AI Engineer

Weatherford

Job Overview: In MENA, we are pioneering digital transformation in oilfield services, integrating AI and advanced analytics into drilling, production, reservoir management, and support functions. As part of this journey, we are seeking an AI Expert to accelerate adoption and create tangible business impact. The AI Expert will spearhead the development and deployment of AI-driven solutions across Weatherford MENA operations. The ideal candidate will combine strong technical AI/ML capabilities with an ability to understand oilfield services challenges and deliver business-relevant solutions. This role requires close collaboration with operations, engineering, IT, and functions teams to ensure AI projects deliver measurable efficiency, cost, safety, and sustainability gains.Key Responsibilities:<ul><li>Partner with operations, engineering, and business stakeholders to identify high-value use cases for AI in drilling, completions, production, functions (finance, supply chain, HR, HSE etc).</li><li>Design, develop, and deploy AI/ML models tailored to oilfield data (e.g., drilling parameters, production logs, equipment telemetry, geoscience data).</li><li>Build and operationalize ML pipelines and LLM-backed solutions (e.g., RAG assistants for engineers, predictive maintenance models, AI copilots for technical workflows).</li><li>Ensure robust data governance, security, and compliance with regional regulations (UAE, Saudi, Algeria, etc.).</li><li>Integrate AI solutions with Weatherford’s digital platforms, field applications and enterprise systems.</li><li>Lead POCs and pilot deployments to demonstrate tangible business outcomes, then scale across MENA operations.</li><li>Train and mentor internal teams to adopt AI tools and develop “citizen AI” capabilities.</li><li>Stay at the forefront of emerging AI technologies (LLMs, generative AI, edge AI) and adapt them to MENA oilfield use cases</li></ul>

AI & Analytics Lead

Amco IT Systems

Responsibilities<ul><li>Design, build, and deploy scalable, robust, and high-impact AI solutions specifically Agentic AI, RAG, GraphRAG, LLM Multimodal Chatbot Solutions , from proof-of-concept to production.</li><li>Mentor and collaborate with other engineers and data teams, helping to establish a culture of technical excellence and innovation.</li><li>Architect and manage AI/ML infrastructure using cloud services (preferably Azure or On-Prem Openshift) and container orchestration platforms like Kubernetes.</li><li>Optimize and scale model deployment, including implementing efficient GPU inferencing pipelines for low-latency, high-throughput applications.</li><li>Establish rigorous frameworks for model evaluation (Evals), validation, and monitoring, ensuring model explainability, fairness, and transparency.</li><li>Champion a modern, collaborative AI development lifecycle; leverage AI coding assistants (e.g., Cursor, Claude Code) to translate detailed Product Requirement Document (PRD) specifications into high-quality code, and enforce a strict PR-based workflow with automated testing for all code contributions.</li><li>Drive the exploration and implementation of Knowledge Graphs (e.g., TigerGraph, Neo4j) and LLMs to model complex biomedical data and power intelligent systems.</li><li>Develop and apply Reinforcement Learning (RL) models to optimize processes within Clinical Decision Support Systems.</li><li>Collaborate with cross-functional teams, including clinicians and product managers, to ensure our AI solutions meet critical needs and integrate seamlessly into clinical workflows using standards like FHIR/HL7.</li></ul>Technical &amp; Functional Skills:<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related technical field.</li><li>6+ years of experience in AI, machine learning, or data science, with a proven track record of delivering high-impact solutions. Leadership or mentorship experience is highly valued.</li><li>Hands-on experience deploying and scaling machine learning models in production using Kubernetes, with a focus on performance and reliability.</li><li>Experience with optimizing model serving, including GPU inferencing and framework-specific performance tuning.</li><li>Deep understanding of model evaluation techniques, A/B testing, and AI explainability methods (e.g., SHAP, LIME).</li><li>Proficiency or experience with AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code).</li><li>Experience with automated testing frameworks (e.g., pytest, unittest, pydantic) and CI/CD practices for machine learning.</li><li>Expertise in designing or utilizing Knowledge Graphs, with experience in graph databases such as TigerGraph or Neo4j.</li><li>Familiarity with Reinforcement Learning (RL) concepts and their practical application.</li><li>Knowledge of healthcare data standards (FHIR/HL7) is a significant plus.</li><li>Proficiency in Python and common ML/Data Science libraries (e.g., scikit-learn, pandas, PyTorch, TensorFlow).</li><li>Experience with LLMs, NLP techniques, and agentic frameworks (e.g., LangChain, CrewAI, Microsoft Agentic Framework, MCP, A2A ).</li><li>Strong experience with cloud platforms (AWS, Azure, or GCP).</li><li>Excellent communication skills and a collaborative, team-oriented mindset. Critical Skills</li><li>Customer Focused: A passionate drive to delight end users with high quality / scalable solutions.</li><li>Critical Thinking: A thoughtful process of analyzing complex data to reach well-reasoned, effective solutions.</li><li>Team Mentality: Partnering effectively to drive our culture and execute on our common goals.</li><li>Business Acumen: An appreciation and understanding of the healthcare or financial services industry to make sound decisions.</li><li>Learning Agility: An openness to new ways of thinking and acquiring new skills to retain a competitive advantage</li></ul>Job Type: Contract Contract length: 6 monthsApplication Question(s):<ul><li>Do you have at least 6 years of experience in Artificial Intelligence, Machine Learning, or Data Science?</li><li>Do you have hands-on experience in deploying and scaling ML models using Kubernetes or other container orchestration platforms? Please specify which.</li><li>Have you worked with cloud platforms such as Azure, AWS, or GCP? If yes, please mention which and for how long.</li><li>Describe your experience in optimizing GPU inferencing pipelines for AI/ML applications.</li><li>Do you have experience applying Reinforcement Learning (RL) in real-world solutions? If yes, please provide an example.</li><li>What is your current location and availability to join if selected?</li><li>Have you worked on AI solutions in healthcare or clinical domains, especially involving FHIR/HL7 standards?</li><li>What are your salary (AED) expectations (monthly)?</li><li>What is your nationality?</li><li>Do you agree to work on a 6-month (extendable) contract basis?</li><li>Do you hold a valid work permit or visa to work in the job location (e.g., Riyadh, Saudi Arabia)?</li></ul>

Senior AI Engineer / AI Architect

Explore 1940+ Ai/ml engineer in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

1940 ai/ml engineer jobs IN Dubai United Arab Emirates

AI/ML Engineer, Deployed

Graduate AI/ML Engineer - UAE National

AI Data Engineer

AI Data Engineer

AI Engineer

AI & Analytics Lead

Senior AI Engineer / AI Architect