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

Drive the strategic vision for AI/ML initiatives and contribute to the overall AI strategy of the company.

Communicate complex technical concepts and results to business stakeholders effectively.

Provide thought leadership and subject matter expertise in data science

Collaborate with cross-functional teams to understand business needs and translate them into data science solutions

Lead a team of data scientists, MLOps, ML engineers, solution architects providing guidance, mentorship, and coaching

Oversee the end-to-end lifecycle of multiple AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment.

Leverage Agentic AI, generative AI and large language models (LLMs) to create innovative applications and solutions.

Design, Develop and implement data science projects, including machine learning models, deep learning models, Agentics and Generative AI, NLP solutions, statistical analysis, and data visualization

Ensure data quality, scalability and reliability of AI systems

Stay up-to-date with the latest data science trends and technologies

Contribute to the development of data-driven solutions and products

Present data science generated insights and recommendations to stakeholders

Your Skills

Strong experience of developing and deploying the AI/ML, Gen AI and Agentic AI models in production

Strong knowledge of machine learning, deep learning, NLP, statistical analysis, and data visualization tools and technologies

Experience with big data processing frameworks, such as Spark or Hadoop

Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras.

Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc.

Proficiency in programming languages such as Python, R, etc.

Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. GCP is preferred.

Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.

Strong leadership and team management skills, with experience in leading data science teams

Excellent communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders

Strong data security and privacy knowledge and experience

Experience with agile development methodologies is a plus

What will you love working at Capgemini

You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.

We’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. 

At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make it real | www.capgemini.com