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

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing 420,000 team members in more than 50 countries. The Application Development & Maintenance (ADM Center) provides end-to-end IT services including software development, implementation, and maintenance using leading technologies and management methods. The team works in fields such as DevOps, SRE, low-code, Automation, and AI, hiring in Wrocław, Poznań, and Gdańsk.

• Master’s, engineer’s, or bachelor’s degree
• At least 4 years of experience 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, Infrastructure as Code (IaC)
• Good written and verbal communication skills (minimum B2 English)

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

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. Individuals are evaluated based on qualifications and performance, not personal characteristics.