MLOps Engineer (Machine Learning, MLFlow, Kubernetes, DVC)

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

• Master’s, engineer’s, or bachelor’s degree
• At least 4 years of experience in working with CI / CD and / or cloud technologies
• Experience with GIT, CI/CD Tools, Kubernetes, Docker, Machine Learning Frameworks (e.g. TensorFlow), Monitoring and Logging Tools, IaC
• Good written and verbal communication skills (min. B2 English)

• Ensuring that machine learning models are efficiently deployed and maintained in the environments
• Automating deployment of machine learning models to environments, updates
• Implementing CI/CD pipelines for ML Models
• Setting up monitoring and logging for ML Models
• Optimizing ML Models