Capgemini Invent

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses.

Your role

1. Work with senior engineers and architects to implement end-to-end MLOps lifecycle projects.
2. Contribute to building and testing ML pipelines, including data ingestion, model training, and deployment phases.
3. Support the deployment, scaling, and monitoring of ML models in production environments.
4. Collaborate with data scientists, data engineers, and other team members to ensure the successful implementation of MLOps processes.
5. Engage in code reviews, testing, and quality assurance to ensure reliable model performance.
6. Troubleshoot, optimize, and maintain ML pipelines to ensure continuous operation.
7. Gain hands-on experience with Infrastructure-as-Code (IaC) and configuration management.
8. Manage cloud resources (Azure, AWS, or GCP) and assist with cost-optimization strategies.
9. Ensure compliance with best practices in DevOps/MLOps, including security and governance considerations.
10. Document processes and contribute to knowledge-sharing and best practices within the team.
11. Assist with the implementation and support of LLM (Large Language Model) pipelines, including model fine-tuning, evaluation, and deployment in cloud and on-premises environments.

Your Profile

• Basic understanding of data structures, data modeling, and software architecture.
• Experience with at least one ML framework (e.g., TensorFlow, Keras, or scikit-learn) and associated libraries (NumPy, Pandas, etc.).
• Familiarity with programming languages like Python and SQL, with exposure to version control (e.g., Git).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Knowledge of CI/CD principles and DevOps practices for ML.
• Exposure to containerization tools such as Docker and orchestration tools like Kubernetes.
• Understanding of MLOps tools and frameworks, with a willingness to learn and adapt to new technologies.

What you will love about working here

• We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
• At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
• Equip yourself with valuable certifications in the latest technologies such as Generative AI.

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.