142 AI Ml Engineer jobs in the United Arab Emirates

BlackStone eIT, a leading computer software company, is looking for a skilled and motivated AI & ML Engineer to join our innovative team. In this role, you will be at the forefront of developing and implementing state-of-the-art artificial intelligence (AI) and machine learning (ML) algorithms to enhance our product offerings and optimize business functions. You will work collaboratively with data scientists, software engineers, and product teams to translate complex data into actionable insights and effective machine learning models.

Your expertise will play a pivotal role in driving data-driven decision-making within the organization. This is an exciting opportunity to work on high-impact projects that leverage the latest advancements in AI and ML technologies.

Requirements

• Proven experience as an AI & ML Engineer or in a related field, with at least 3 years of experience.
• Strong understanding of machine learning algorithms, deep learning, natural language processing, and computer vision techniques.
• Proficiency in programming languages such as Python, Java, or R.
• Hands-on experience with ML frameworks and libraries (TensorFlow, Keras, PyTorch, etc.).
• Experience with data preprocessing, feature extraction, and model evaluation.
• Background in statistics and mathematics to enhance algorithm performance.
• Ability to work with large datasets and experience with big data technologies (Hadoop, Spark, etc.) is a plus.
• Excellent problem-solving skills, attention to detail, and a collaborative attitude.
• Strong verbal and written communication skills to convey technical concepts to non-technical stakeholders.
• A degree in Computer Science, Mathematics, Data Science, or a related field is preferred.

Get AI-powered advice on this job and more exclusive features.

BlackStone eIT, a leading computer software company, is looking for a skilled and motivated AI & ML Engineer to join our innovative team. In this role, you will be at the forefront of developing and implementing state-of-the-art artificial intelligence (AI) and machine learning (ML) algorithms to enhance our product offerings and optimize business functions. You will work collaboratively with data scientists, software engineers, and product teams to translate complex data into actionable insights and effective machine learning models.

Your expertise will play a pivotal role in driving data-driven decision-making within the organization. This is an exciting opportunity to work on high-impact projects that leverage the latest advancements in AI and ML technologies.

Requirements

• Proven experience as an AI & ML Engineer or in a related field, with at least 3 years of experience
• Strong understanding of machine learning algorithms, deep learning, natural language processing, and computer vision techniques
• Proficiency in programming languages such as Python, Java, or R
• Hands-on experience with ML frameworks and libraries (TensorFlow, Keras, PyTorch, etc.)
• Experience with data preprocessing, feature extraction, and model evaluation
• Background in statistics and mathematics to enhance algorithm performance
• Ability to work with large datasets and experience with big data technologies (Hadoop, Spark, etc.) is a plus
• Excellent problem-solving skills, attention to detail, and a collaborative attitude
• Strong verbal and written communication skills to convey technical concepts to non-technical stakeholders
• A degree in Computer Science, Mathematics, Data Science, or a related field is preferred
  
  

• Paid Time Off
• Performance Bonus
• Training & Development

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 6 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates AED3,000.00-AED7,000.00 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 year ago

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Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 6 months ago

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Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 7 months ago

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Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

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About the job you are considering

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

• Model Configuration & Fine-Tuning: Design, implement, and optimize machine learning models by tailoring architecture and hyperparameters to meet specific project requirements. Employ advanced fine-tuning techniques to maximize model performance on specialized data sets, ensuring models are robust, efficient, and production ready.
• AML Pipeline Development: Architect, develop, and maintain automated machine learning (AML) pipelines that streamline data ingestion, preprocessing, model training, evaluation, and deployment. Utilize best practices to ensure scalability, modularity, and traceability in all pipeline components, enabling rapid experimentation and reproducibility.
• Accuracy Optimization: Apply state-of-the-art methodologies to optimize the accuracy and efficacy of machine learning solutions. Conduct comprehensive error analyses, implement advanced feature engineering, leverage transfer learning, and perform model ensembling to achieve superior predictive performance.
• Integration with Confidential Compute Pattern: Collaborate with security and cloud teams to ensure all AI/ML models are integrated with confidential computing environments. Safeguard sensitive data and model assets by designing privacy-preserving architectures using secure enclaves, federated learning, and encryption-in-use techniques.
• Collaboration & Stakeholder Engagement: Partner with business analysts, data scientists, engineers, and stakeholders to translate business objectives into actionable AI/ML solutions. Communicate complex technical concepts in a clear and accessible manner to both technical and non-technical audiences.
• Continuous Learning & Innovation: Stay abreast of the latest developments in AI/ML research, tools, and frameworks. Identify opportunities to incorporate cutting-edge techniques into project workstreams, fostering a culture of continuous improvement and innovation.

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a closely related field. PhD is a plus.
• Proven experience in configuring, fine-tuning, and deploying machine learning models (both supervised and unsupervised).
• Strong proficiency in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-Learn, Keras, and XGBoost.
• Hands-on experience with building and managing end-to-end AML pipelines using tools like Azure ML, MLflow, Kubeflow, or similar.
• Expertise in hyperparameter optimization, cross-validation, and model selection for maximizing accuracy.
• Solid understanding of security principles, especially in confidential computing, data encryption, and federated learning.
• Familiarity with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data and model issues.
• Excellent communication and presentation skills, with experience working in collaborative, multidisciplinary teams.
• Proactive, curious, and adaptable, with a continuous learning mindset.

• Experience implementing AI/ML solutions in regulated industries (e.g., finance, healthcare, government) where data privacy is paramount.
• Knowledge of secure multi-party computation, homomorphic encryption, or privacy-enhancing technologies.
• Exposure to MLOps, CI/CD for ML, and production-grade ML systems.
• Background in optimization algorithms, reinforcement learning, or generative models

Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.

As 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.

• Innovate 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.
  

• Hold 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.

• Competitive salary plus equity

• Daily lunches

• Commuter benefits

• 401(k)

• Medical, Dental and Vision

• Unlimited PTO

This is a hybrid role based out of our Dubai office.

We are looking for an AI/ML Engineer with at least 2 years of experience preferably in the real estate industry to develop and deploy AIdriven solutions. The ideal candidate will have expertise in machine learning data analysis and automation to enhance business processes optimize property listings and improve customer insights.
Key Responsibilities:

• Develop and train machine learning models for property valuation lead scoring and predictive analytics.
  
• Analyze real estate market trends and customer behavior using AIdriven insights.
  
• Optimize search and recommendation algorithms for property listings.
  
• Implement AIbased chatbots and automation tools to enhance customer experience.
  
• Work with big data from property databases and CRM systems to improve decisionmaking.
  
• Deploy and maintain machine learning models using cloud platforms or onpremise solutions.
  
• Collaborate with real estate sales marketing and IT teams to develop AIpowered solutions.
  
• Ensure compliance with data privacy and ethical AI standards.
  

• Bachelors degree in Computer Science Data Science AI/ML or a related field.
  
• Minimum 2 years of experience in AI/ML development with a strong preference for candidates with real estate experience.
  
• Proficiency in Python R or Java and ML frameworks like TensorFlow PyTorch or ScikitLearn.
  
• Experience with data preprocessing feature engineering and model optimization.
  
• Familiarity with real estate CRMs property listing platforms and market trend analysis is a plus.
  
• Experience with cloudbased AI/ML services (AWS Azure Google Cloud).
  
• Strong problemsolving skills and ability to work in a fastpaced environment.
  
• Prior experience developing AI solutions for real estate pricing customer engagement or property analytics.
  
• Knowledge of computer vision for image recognition in real estate listings.
  
• Familiarity with AIdriven marketing automation tools.
  
• Certifications in AI/ML or cloud computing are a plus.
  

A strong player in the shipping and logistics industry that are looking to expand their AI and ML capabilities.

• Build and maintain scalable ML pipelines for pricing optimisation, shipping rate prediction, and logistics operations.
• Deploy, monitor, and manage ML models in production using best-practice MLOps frameworks and tools.
• Collaborate with data scientists to take prototypes through to production-grade solutions.
• Implement automated model monitoring, retraining, and version control processes to ensure performance stability.
• Optimise model latency and cost efficiency for real-time decision-making in high-volume transactional environments.
• Partner with engineering teams to streamline data flows from operational systems (ERP, WMS, TMS) and ensure data readiness.
• Champion reproducibility, scalability, and operational excellence in AI delivery.

• Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field.
• 4+ years of hands-on experience in MLOps, with a strong background in deploying and managing ML models in production.
• Proven experience in pricing optimisation, shipping, logistics, or supply chain AI solutions.
• Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with MLOps tools and platforms (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML).
• Solid understanding of CI/CD, containerisation (Docker, Kubernetes), and cloud-based ML infrastructure.
• Experience working with APIs and integrating ML into operational workflows.

A strong player in the shipping and logistics industry that are looking to expand their AI and ML capabilities.

• Build and maintain scalable ML pipelines for pricing optimisation, shipping rate prediction, and logistics operations.
• Deploy, monitor, and manage ML models in production using best-practice MLOps frameworks and tools.
• Collaborate with data scientists to take prototypes through to production-grade solutions.
• Implement automated model monitoring, retraining, and version control processes to ensure performance stability.
• Optimise model latency and cost efficiency for real-time decision-making in high-volume transactional environments.
• Partner with engineering teams to streamline data flows from operational systems (ERP, WMS, TMS) and ensure data readiness.
• Champion reproducibility, scalability, and operational excellence in AI delivery.
• Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field.
• 4+ years of hands-on experience in MLOps, with a strong background in deploying and managing ML models in production.
• Proven experience in pricing optimisation, shipping, logistics, or supply chain AI solutions.
• Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with MLOps tools and platforms (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML).
• Solid understanding of CI/CD, containerisation (Docker, Kubernetes), and cloud-based ML infrastructure.
• Experience working with APIs and integrating ML into operational workflows.
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A strong player in the shipping and logistics industry that are looking to expand their AI and ML capabilities.

• Build and maintain scalable ML pipelines for pricing optimisation, shipping rate prediction, and logistics operations.
• Deploy, monitor, and manage ML models in production using best-practice MLOps frameworks and tools.
• Collaborate with data scientists to take prototypes through to production-grade solutions.
• Implement automated model monitoring, retraining, and version control processes to ensure performance stability.
• Optimise model latency and cost efficiency for real-time decision-making in high-volume transactional environments.
• Partner with engineering teams to streamline data flows from operational systems (ERP, WMS, TMS) and ensure data readiness.
• Champion reproducibility, scalability, and operational excellence in AI delivery.

• Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field.
• 4+ years of hands-on experience in MLOps, with a strong background in deploying and managing ML models in production.
• Proven experience in pricing optimisation, shipping, logistics, or supply chain AI solutions.
• Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with MLOps tools and platforms (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML).
• Solid understanding of CI/CD, containerisation (Docker, Kubernetes), and cloud-based ML infrastructure.
• Experience working with APIs and integrating ML into operational workflows.