Machine Learning Training Infrastructure Engineer
Core
Design reusable scaffolding, CI/CD pipelines, and data workflows to optimize ML training on HPC infrastructure for Logitech's ML and EdgeAI teams.
Role type
Senior IC MLOps/Infrastructure Engineer
Builds
Reusable project templates, automated training pipelines, and optimized compute workflows for ML models
Domain
Machine Learning Infrastructure / High Performance Computing (HPC)
Deliverable
production ML models
Required skills
Python, PyTorch, Docker, CI/CD (GitLab CI, GitHub Actions), HPC optimization, distributed systems, profiling, OS concepts, GPU/TPU training
Preferred skills
Data versioning, experiment tracking, model packaging for edge, cloud concepts (AWS)
Responsibilities
Lead infrastructure migration and onboarding for ML teams; Design and maintain project templates for compliance and structure; Build automation pipelines for data validation and model retraining; Profile and optimize training code with ML engineers; Act as liaison between ML teams and Digital Office for infrastructure policies; Establish frameworks for AI governance and data stewardship
Seniority
Senior, hands-on IC