ML Ops Engineer - Build Reproducible ML Pipelines

Harmattan AI; Paris; On-site; EUR 60,000 - 90,000; Full time

Job summary

Harmattan AI is a next-generation defense company delivering autonomous, scalable systems to allied nations. As an MLOps Engineer based in Paris, Lausanne, or Zurich, you will own training and evaluation pipelines, CI, experiment tracking, and reproducibility to ensure models are trained, benchmarked, and compared in a controlled and repeatable way.

You enable modelers to focus on models, setting the standard for the team.

Qualifications

• Degree in a STEM field or equivalent practical experience.
• Experience building ML pipelines, CI, and experiment tracking in production or research.

Responsibilities

• Build and maintain reproducible training and evaluation pipelines.
• Bring CI to ML work and ensure runs are comparable across code, config, and models.
• Maintain a model lifecycle registry from sandbox to production.
• Keep results traceable through experiment tracking and logging.
• Wire on-device and hardware-in-the-loop test runs into automation.

Skills

Python

CI/CI-CD

Software engineering

Education

STEM degree

Tools

CI/CD pipelines

Experiment tracking

Model registry

Job description

Harmattan AI is a next-generation defense company delivering autonomous, scalable systems to allied nations. As an MLOps Engineer based in Paris, Lausanne, or Zurich, you will own training and evaluation pipelines, CI, experiment tracking, and reproducibility to ensure models are trained, benchmarked, and compared in a controlled and repeatable way.

You enable modelers to focus on models, setting the standard for the team.