Harmattan AI · Defence and security
ML Ops Engineer
- Zurich (On‑site), +2 more: Lausanne, Paris
- Full-time
AI roleMachine LearningTrains models
Still open on Harmattan AI's site · checked 5 hours ago
- Education
- A degreeor equivalent experience
- Posted
What you'll do
As written by Harmattan AI · Read the original
ABOUT THE ROLE
Our ML teams build and optimize the models at the core of our autonomy stack. As a team scales, the workflow the models run on needs to move from a manual, organically grown setup onto a controlled, automated, and reproducible footing.
As an MLOps Engineer, operating out of Paris, Lausanne, or Zurich, you will own that machinery, across training and evaluation pipelines, CI, experiment tracking, and reproducibility, so that models are trained, benchmarked, and compared in a controlled and repeatable way. You free the modelers to focus on models rather than infrastructure, and you set the standard the team builds on.
RESPONSIBILITIES
Training & Evaluation Pipelines: Build and maintain the reproducible training and evaluation pipelines the modelers run on, along with the pipeline templates and tooling they build on. The verdict on model quality stays with the modelers.
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: Help wire on-device and hardware-in-the-loop test runs into automation and collect the results.
Requirements
CANDIDATE REQUIREMENTS
Educational Background: A degree in a STEM field, or equivalent practical experience. Practical pipeline, CI, and reproducibility experience matters more than the specific degree.
MLOps Experience: Built and maintained ML pipelines, CI, and experiment tracking in a real production or research setting, ideally taking a manual flow and making it controlled and reproducible.
Engineering: Strong in Python and software engineering for infrastructure.
Bonus: Experience wiring pipelines to on-device or hardware-in-the-loop testing.
Attributes: Systematic, reliability-minded, and service-oriented so the team is enabled, pragmatic, and good at reducing friction.
Commitment: 100% dedication to Harmattan AI's mission of providing a defensive edge to allied nations through ethical, high-impact technology.
We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
Skills
Stack
- Python
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
