Description
Fetcherr is hiring an MLOps Team Lead to guide a small team of MLOps engineers in building and maintaining an internal machine learning platform for research and production workflows. The role owns infrastructure and pipeline initiatives, contributes hands-on to design and code, supports the migration from Dask to Ray, and drives model-lifecycle and infrastructure milestones. Candidates need a relevant degree, at least five years of commercial Python experience, at least three years of production MLOps experience, and expertise in machine learning systems, cloud platforms, distributed computing, Docker, and Kubernetes.
