MLOps Engineer: Reproducible AI Pipelines for Autonomy

Harmattan AI; Paris; Sur place; EUR 80 000 - 110 000; Plein temps

Résumé du poste

Harmattan AI seeks an MLOps Engineer to own the machinery behind training and evaluation pipelines in Paris, Lausanne, or Zurich. You will implement reproducible workflows so modelers can focus on modeling rather than infrastructure, setting the standard for the team.

You will contribute to CI, experiment tracking, and automated tests, enabling scalable, reliable experimentation in a demanding defense-focused environment.

Qualifications

• Degree in a STEM field or equivalent practical experience.
• Experience building ML pipelines, CI, and experiment tracking in production or research.
• Strong Python and infrastructure software engineering.
• Bonus: experience wiring pipelines to on-device / hardware-in-the-loop testing.
• Systematic, reliability-minded, and service-oriented.
• 100% dedication to Harmattan AI's mission.

Responsabilités

• Training & Evaluation Pipelines: Build and maintain reproducible training/evaluation pipelines and templates.
• CI & Reproducibility: Bring CI to ML work and ensure runs are comparable across code/config/models.
• Model Registry: Maintain a model lifecycle registry from sandbox to production.
• Experiment Tracking & Logging: Keep results traceable across the team.
• Test Automation: Wire on-device/testing into automation and collect results.

Connaissances

Python

MLOps

CI/CD

Experiment tracking

Infrastructure engineering

Formation

STEM degree or equivalent experience

Outils

CI/CD tooling

Experiment tracking tools

Description du poste

Harmattan AI seeks an MLOps Engineer to own the machinery behind training and evaluation pipelines in Paris, Lausanne, or Zurich. You will implement reproducible workflows so modelers can focus on modeling rather than infrastructure, setting the standard for the team.

You will contribute to CI, experiment tracking, and automated tests, enabling scalable, reliable experimentation in a demanding defense-focused environment.