As an AI DevOps (MLOps) Engineer you’re the technical bridge between data science, development, and operations, ensuring ML models move reliably, scalably, and automatically from experiment to production.
You design and run the infrastructure for the entire ML lifecycle, automating training, testing, deployment, and monitoring. You implement CI/CD specifically for AI projects, integrate logging, alerting, and monitoring, and orchestrate containers and services on-premises and in the cloud. You also evaluate and introduce new tools and technologies for productive AI operations.
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Our team is growing, and we are hiring a AI DevOps Engineer in Düsseldorf, Nordrhein-Westfalen, Germany.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the AI DevOps Engineer role in the description above.