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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

Onliest

Job Title: Machine Learning Engineer &ndash; 3D GraphicsLocation: UAE Experience: 6+ years Job Type: Full-TimeRole: We are seeking a highly skilled and innovative Machine Learning Engineer with 3D Graphics expertise. In this role, you will be responsible for developing and optimizing 3D mannequin models using machine learning algorithms, computer vision techniques, and 3D rendering tools. You will collaborate with backend developers, data scientists, and UI/UX designers to create realistic, scalable, and interactive 3D visualization modules that enhance the user experience.Key Responsibilities:3D Mannequin Model Development:<ul><li>Design and develop 3D mannequin models using ML-based body shape estimation.</li><li>Implement pose estimation, texture mapping, and deformation models.</li><li>Use ML algorithms to adjust measurements for accurate sizing and fit.</li></ul>Machine Learning &amp; Computer Vision:<ul><li>Develop and fine-tune ML models for body shape recognition, segmentation, and fitting.</li><li>Implement pose detection algorithms using TensorFlow, PyTorch, or OpenCV.</li><li>Use GANs or CNNs for realistic 3D texture generation.</li></ul>3D Graphics &amp; Visualization:<ul><li>Create interactive 3D rendering pipelines using Three.js, Babylon.js, or Unity.</li><li>Optimize mesh processing, lighting, and shading for real-time rendering.</li><li>Use GPU-accelerated techniques for rendering efficiency.</li></ul>Model Optimization &amp; Performance:<ul><li>Optimize inference pipelines for faster real-time rendering.</li><li>Implement multi-threading and parallel processing for high performance.</li><li>Utilize cloud infrastructure (AWS/GCP) for distributed model training and inference.</li></ul>Collaboration &amp; Documentation:<ul><li>Collaborate with UI/UX designers for seamless integration of 3D models into web and mobile apps.</li><li>Maintain detailed documentation for model architecture, training processes, and rendering techniques.</li></ul>Key Skills &amp; Qualifications:Experience:<ul><li>3&ndash;8 years in Machine Learning, Computer Vision, and 3D Graphics Development.</li></ul>Technical Skills:<ul><li>Proficiency in Django, Python, TensorFlow, PyTorch, and OpenCV.</li><li>Strong expertise in 3D rendering frameworks: Three.js, Babylon.js, or Unity.</li><li>Experience with 3D model formats (GLTF, OBJ, FBX).</li><li>Familiarity with Mesh Recovery, PyMAF, and SMPL models.</li></ul>ML &amp; Data Skills:<ul><li>Hands-on experience with GANs, CNNs, and RNNs for texture and pattern generation.</li><li>Experience with 3D pose estimation and body measurement algorithms.</li></ul>Cloud &amp; Infrastructure:<ul><li>Experience with AWS (SageMaker, Lambda) or GCP (Vertex AI, Cloud Run).</li><li>Knowledge of Docker and Kubernetes for model deployment.</li></ul>Graphics &amp; Visualization:<ul><li>Knowledge of 3D rendering engines with shader programming.</li><li>Experience in optimization techniques for rendering large 3D models.</li></ul>Soft Skills:<ul><li>Strong problem-solving skills and attention to detail.</li><li>Excellent collaboration and communication skills.</li></ul>Interested candidates can send their updated resume to: careers@onliestworld.comJob Type: Full-time

ML Engineer -3D Graphic

Glow Beauty On Demand

Job Title ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Job Description ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Location: Dubai, UAE Industry: Technology / AI / Food &amp; Q-commerce Function: Machine Learning Engineering Gender: Any Candidate Nationality: Any Job Type: Full-time Role Overview Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users. Key Responsibilities * Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models * Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes * Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate * Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference * Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability * Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals * Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components * Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows Qualifications and Experience * Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) * Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles * Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain * Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm) * Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis * Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems * Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies

ML Platform Engineer

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

Job Title ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Job Description ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Location: Dubai, UAE Industry: Technology / AI / Food &amp; Q-commerce Function: Machine Learning Engineering Gender: Any Candidate Nationality: Any Job Type: Full-time Role Overview Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users. Key Responsibilities * Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models * Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes * Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate * Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference * Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability * Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals * Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components * Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows Qualifications and Experience * Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) * Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles * Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain * Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm) * Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis * Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems * Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies What We Offer * Opportunity to work on advanced ML and AI projects impacting millions of users in the Middle East * Competitive salary and benefits package * A collaborative, innovation-driven environment with cutting-edge tools and technologies * Career development in one of the fastest-growing tech ecosystems in the region

ML Platform Engineer Generative AI & Machine Learning

Job Title ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Job Description ML Platform Engineer Generative AI &amp; Machine Learning Infrastructure Location: Dubai, UAE Industry: Technology / AI / Food &amp; Q-commerce Function: Machine Learning Engineering Gender: Any Candidate Nationality: Any Job Type: Full-time Role Overview Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users. Key Responsibilities * Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models * Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes * Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate * Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference * Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability * Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals * Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components * Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows Qualifications and Experience * Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) * Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles * Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain * Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm) * Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis * Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems * Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies

ML Platform Engineer Generative AI & Machine Learning Infrastructure

Etihad Credit Bureau

<div>
 
 
 JOB DESCRIPTION SUMMARY
 
 
 
 
 
 
 The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.
 
 
 
 
 
 
 KEY DUTIES &amp; RESPONSIBILITIES
 
 
 <ul>
 <li>
 
 Production Model Maintenance:
 
 Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
 </li>
 <li>
 
 Platform Orchestration:
 
 Manage AzureML pipelines &amp; Databricks workflows for model retraining, batch scoring, and real-time inference.
 </li>
 <li>
 
 High-Availability Engineering:
 
 Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
 </li>
 <li>
 
 Release Management:
 
 Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
 </li>
 <li>
 
 Model Governance:
 
 Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
 </li>
 <li>
 
 Incident Response:
 
 Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
 </li>
 <li>
 
 Infrastructure Optimization:
 
 Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
 </li>
 <li>
 
 Vendor Management:
 
 Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.
 </li>
 </ul>
 
 
 
 
 
 EDUCATION &amp; SKILLS
 
 
 <ol>
 <li>
 Educated with at least bachelor&rsquo;s degree or equivalent in related field
 </li>
 <li>
 Education specialization or master&rsquo;s degree in computer science, Software Engineering
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Preferred proficiency in Arabic
 </li>
 <li>
 In-depth knowledge of React Native and Next JS and related modules, components and libraries
 </li>
 <li>
 Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore
 </li>
 </ol>
 
 
 
 
 
 EXPERIENCE &amp; KNOWLEDGE
 
 
 <ol>
 <li>
 Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
 </li>
 <li>
 2+ years in Data Science or Software Engineering experience
 </li>
 <li>
 2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
 </li>
 <li>
 Strong problem-solving skills and the ability to resolve issues efficiently.
 </li>
 <li>
 CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
 </li>
 <li>
 Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.
 </li>
 </ol>
 
 
 
 
 
 ABILITIES &amp; SPECIFIC REQUIREMENTS
 
 
 <ol>
 <li>
 Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
 </li>
 <li>
 Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
 </li>
 <li>
 Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
 </li>
 <li>
 Credit bureau data structures (tradelines, inquiries, public records)
 </li>
 <li>
 Model risk management (MRM) standards
 </li>
 <li>
 Azure Solutions Architect or MLOps certifications
 </li>
 <li>
 Experience with financial services-grade SLAs (99.9% uptime) and outage management
 </li>
 <li>
 Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
 </li>
 <li>
 Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
 </li>
 <li>
 Knowledge of new and upcoming AI tools
 </li>
 <li>
 This is contained within the earlier requirement of python. If the plan is for this resource
 </li>
 <li>
 Excellent written and verbal communication skills English
 </li>
 <li>
 Strong interpersonal skills with the ability to engage and build relationships
 </li>
 <li>
 Crisis management under pressure
 </li>
 <li>
 Cross-functional collaboration with data science/risk teams
 </li>
 <li>
 Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
 </li>
 <li>
 Ability to develop and document procedures, roles, and guidelines.
 </li>
 <li>
 
 Security and Compliance
 
 Especially in financial services, mention data security, PII handling, and compliance with regulations
 </li>
 </ol>
</div>

Machine Learning Engineer (Contract - For Immediate Hire)

Explore 1373+ Ml engineer in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.