AI/ML Engineer | Dubai, UAE

Capgemini; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A global tech transformation firm in Dubai is looking for a Machine Learning Engineer to design & optimize models and develop automated pipelines. The ideal candidate will have a Bachelor’s degree in Computer Science, proven ML experience, and expertise in Python and relevant ML libraries. Join a collaborative team focused on helping organizations innovate responsibly and inclusively.

Qualifications

• Experience in configuring and deploying machine learning models.
• Hands-on experience with end-to-end AML pipelines.
• Understanding of security principles in computing.

Responsibilities

• Design and optimize machine learning models.
• Develop and maintain automated machine learning pipelines.
• Collaborate with teams to translate business objectives into AI solutions.

Skills

Python

Machine Learning Libraries

Analytical Skills

Problem-Solving

Excellent Communication

Education

Bachelor's or Master's in relevant field

Tools

TensorFlow

PyTorch

Azure ML

Docker

Kubernetes

Job description

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.

Your Skills and Experience

• 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.

Preferred Skills

• 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

Why you should consider Capgemini

Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

#GetTheFutureYouWant | www.capgemini.com

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