Senior AI/ML Engineer

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.

Role Overview

As a Senior AI/ML Engineer, you will be a key leader in the entire lifecycle of our strategic AI/ML initiatives, from visionary ideation and rigorous experimentation to secure deployment and impactful scaling across government entities. You will be instrumental in architecting and implementing sophisticated AI models, spanning both robust traditional methodologies and cutting-edge generative techniques, strategically leveraging the best of open-source and proprietary technologies. You will collaborate closely with Government Business Subject Matter Experts (SMEs), visionary AI product designers, a talented team of Data Scientists and Engineers, and innovative Software Engineers to build robust, scalable, secure, and impactful AI-powered products that directly benefit the citizens, residents and visitors of Abu Dhabi.

Key Responsibilities

• Design and deploy advanced AI models and end-to-end pipelines for government applications, covering traditional ML (classification, regression, forecasting, recommendations) and Generative AI (LLMs, diffusion models, GANs).
• Handle sensitive datasets with robust preprocessing, feature engineering, fine-tuning, and evaluation for optimal performance.
• Utilize leading frameworks like TensorFlow, PyTorch, scikit-learn, Hugging Face, and orchestration tools such as Kubeflow, MLflow, Airflow, LangChain, and MCP.
• Build scalable, secure AI pipelines compliant with government standards.
• Collaborate with cross-functional teams to define problems, co-develop solutions, and integrate AI into existing ecosystems.
• Ensure reproducibility, code quality, and ethical AI practices while documenting methodologies and results for stakeholders.

Skills And Experience

1. Bachelor’s/Master’s in Computer Science, Machine Learning, Statistics, or related field.
2. Experience developing and deploying ML/GenAI models in production.
3. Strong knowledge of ML algorithms and Generative AI (LLMs, diffusion models, GANs).
4. Proficient in Python and frameworks: TensorFlow, PyTorch, scikit-learn, Hugging Face.
5. Skilled in building secure, scalable AI pipelines (Kubeflow, MLflow, Airflow, LangChain, Docker, Kubernetes).
6. Experience with large, sensitive datasets and Azure cloud.
7. Proven AIOps implementation in production environments.
8. Domain expertise in Abu Dhabi government and related sectors.
9. Hands-on with distributed training and efficient inference for large-scale AI models.
10. Open-source contributions or publications in AI/ML conferences/journals.

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.

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