Senior MLOps Engineer (m/f/d)

About your tasks:

• Build and operate production-ready ML & AI applications as part of cross-functional product teams.
• Own the application lifecycle – from architecture decisions to testing, deployment, and monitoring.
• Automate retraining and redeployment to ensure models stay relevant to changing data.
• Foster a DevOps mindset that prioritizes reliability, operability, and security.
• Enhance developer experience by contributing to shared frameworks, libraries, and standards.