Data Scientist - AWS

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential.

Your role

• Support the development, deployment and optimization of Data Science, Machine Learning and Generative AI solutions.
• Design, build and maintain AI/ML models, ensuring performance, scalability and reliability across different business use cases.
• Develop and optimize data pipelines, feature engineering processes and large-scale data processing workflows.
• Implement and support MLOps practices, including model deployment, monitoring, CI/CD pipelines and lifecycle management.
• Develop and maintain Retrieval-Augmented Generation (RAG) solutions, vector databases and knowledge-driven AI applications.
• Support the implementation, fine-tuning and evaluation of Large Language Models (LLMs), transformer architectures and diffusion models.
• Collaborate with data engineers, software engineers, cloud architects and business stakeholders to deliver AI-driven solutions.
• Contribute to AI platform evolution, cloud optimization, model scaling and continuous improvement initiatives.

Your profile

• Degree in Data Science, Computer Science, Artificial Intelligence, Engineering or a related field.
• Experience in Data Science, Machine Learning, Generative AI or AI Engineering roles.
• Proficiency in Python, SQL and Machine Learning frameworks such as TensorFlow, PyTorch and Hugging Face Transformers.
• Experience with AWS AI/ML services, including SageMaker, Bedrock, Lambda and Comprehend.
• Hands-on experience with Large Language Models, embeddings, transformers and diffusion models.
• Experience with Retrieval-Augmented Generation, vector databases and knowledge graphs.
• Knowledge of MLOps, Docker, Kubernetes, ECS and CI/CD practices for ML pipelines.
• Strong data engineering skills using AWS Glue, Athena, Spark or similar technologies.
• Understanding of cloud optimization, distributed computing and model scaling principles.
• Knowledge of NLP, image generation models, multimodal AI solutions and Generative AI technologies.
• Experience with fine-tuning open-source models such as LLaMA, Falcon, Mistral and Stable Diffusion.
• Knowledge of ethical AI principles, bias mitigation and AI safety best practices.

What you’ll love about working here

• Multicultural and inclusive team environment.
• Supportive atmosphere promoting work-life balance.
• Hybrid work.
• Career growth programs, training and certifications.
• National and international projects.
• Health and life insurance.
• Referral program with bonuses.
• Great office locations.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage and 420,000 team members in more than 50 countries.