ML Ops Engineer
Harmattan AI1 month ago
Paris, France or Zürich, SwitzerlandSenior
Responsibilities
- Build and maintain reproducible machine-learning training and evaluation pipelines, templates, and tooling.
- Implement CI for ML workflows and ensure runs are comparable across code, configuration, and models.
- Maintain a model lifecycle registry from sandbox through production.
- Manage experiment tracking and logging so results remain comparable and traceable.
- Automate on-device and hardware-in-the-loop testing and collect test results.
Requirements
- A degree in a STEM field or equivalent practical experience is required.
- Experience building and maintaining ML pipelines, CI, and experiment tracking in a production or research setting is required.
- Strong Python skills and software engineering experience focused on infrastructure are required.
- Experience converting manual ML workflows into controlled and reproducible systems is preferred.
- Experience integrating pipelines with on-device or hardware-in-the-loop testing is a bonus.
Benefits
- The role is based in Paris, Lausanne, or Zurich.
- The position offers the opportunity to work on ethical, high-impact autonomous defense technology serving allied nations.
Tech Stack
Categories