MLOps Engineer — Scalable Pipelines for Autonomous Defense

AI Chopping Block; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Harmattan AI is seeking an MLOps Engineer to own training/evaluation pipelines, CI, experiment tracking, and reproducibility for our autonomous defense models. Work from Paris, Lausanne, or Zurich to enable modelers and standardize workflows, freeing researchers to focus on model development.

You will build scalable pipelines, integrate CI for ML, manage a model registry, and automate testing across devices and hardware-in-the-loop setups to ensure repeatable results.

Qualifications

• Educational background in a STEM field or equivalent practical experience.
• MLOps experience: built and maintained ML pipelines, CI, and experiment tracking in production or research settings.
• Strong in Python and software engineering for infrastructure.

Responsabilités

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

Connaissances

Python

MLOps

CI/CD

Infrastructure engineering

Formation

STEM degree or equivalent

Outils

CI/CD tooling

Experiment tracking

Description du poste

Harmattan AI is seeking an MLOps Engineer to own training/evaluation pipelines, CI, experiment tracking, and reproducibility for our autonomous defense models. Work from Paris, Lausanne, or Zurich to enable modelers and standardize workflows, freeing researchers to focus on model development.

You will build scalable pipelines, integrate CI for ML, manage a model registry, and automate testing across devices and hardware-in-the-loop setups to ensure repeatable results.