We are seeking an ML Training Infrastructure Engineer to elevate the engineering practices across our Machine Learning and EdgeAI teams and improve their velocity. In this role, you will act as a shared champion of DevOps / MLOps excellence. Your mission is to drive excellent model training by designing the reusable scaffolding (templates, CI/CD pipelines, and data management workflows) that allows our ML engineers to work faster, smarter, and with absolute consistency. A key focus of this role is optimizing training pipelines to fully leverage our High Performance Computing (HPC) infrastructure, ensuring scalability and performance. You are the interface with our Digital Office (who manage core AWS/HPC resources and MLOps infrastructure) and the applied ML teams, ensuring knowledge transfer and engineering best practices are seamlessly integrated.
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
