MLOps Engineer: Reproducible AI Pipelines for Autonomy

Harmattan AI

Paris

On-site

EUR 80,000 - 110,000

Full time

14 days+
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

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.

Responsibilities

  • 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.

Skills

Python
MLOps
CI/CD
Experiment tracking
Infrastructure engineering

Education

STEM degree or equivalent experience

Tools

CI/CD tooling
Experiment tracking tools

Job description

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.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

MLOps Engineer: Build Reproducible ML Pipelines & CI
MLOps Engineer: Build Reproducible ML Pipelines & CI

Harmattan AI • Paris

On-site
EUR 90,000 - 130,000
ML Ops Engineer
ML Ops Engineer

Harmattan AI • Paris

On-site
EUR 90,000 - 130,000
ML Ops Engineer
ML Ops Engineer

Harmattan AI • Paris

On-site
EUR 80,000 - 110,000
MLOps Engineer — Real-Time AI Platform (Edge/Cloud)
MLOps Engineer — Real-Time AI Platform (Edge/Cloud)

Alta Ares • Paris

On-site
EUR 70,000 - 90,000
Research Software Engineer: Scalable AI Pipelines & Tools
Research Software Engineer: Scalable AI Pipelines & Tools

Mistral • Paris

Hybrid
EUR 90,000 - 140,000
MLOps Engineer: Scale AI with CI/CD & Automation
MLOps Engineer: Scale AI with CI/CD & Automation

Hexateam • Paris

On-site
EUR 45,000 - 65,000
Travailler sur des projets IA à grande échelle
Environnement collaboratif et innovant
MLOps Engineer: Scale & Deploy AI for Impact
MLOps Engineer: Scale & Deploy AI for Impact

Safran.AI • Paris

On-site
EUR 70,000 - 100,000
Intéressement
Plan épargne groupe
Compte Épargne Temps
+7
ML Engineer & MLOps: GenAI Production & Pipelines
ML Engineer & MLOps: GenAI Production & Pipelines

Thélio • Bordeaux

On-site
EUR 65,000 - 105,000
Projets IA industriels
Culture RSE
Évolution carrière
Training Infrastructure Engineer for Scalable ML Pipelines
Training Infrastructure Engineer for Scalable ML Pipelines

Cohere • Paris

On-site
EUR 70,000 - 90,000
Open and inclusive culture
Weekly lunch stipend
Full health and dental benefits
+2
Senior MLOps Engineer — ML Platform & Pipelines
Senior MLOps Engineer — ML Platform & Pipelines

Doctolib • Paris

Hybrid
EUR 90,000 - 130,000
Health insurance
Vacation days
Mental health support
+4