ML Ops Engineer

harmattan-aiΒ· R&D
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πŸ“ LausanneπŸ“ ParisπŸ“ ZurichFullTime

About this role

About Us

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.

Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.

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.

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.

Frequently Asked Questions

Is the salary disclosed for the ML Ops Engineer position at harmattan-ai?
The salary for this ML Ops Engineer role at harmattan-ai is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the ML Ops Engineer position at harmattan-ai located?
This ML Ops Engineer role at harmattan-ai is based in Lausanne, Paris, Zurich. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the ML Ops Engineer role at harmattan-ai full-time or part-time?
This is listed as a FullTime position. It is posted as a ML Ops Engineer role in the R&D department at harmattan-ai.
Which team or department does the ML Ops Engineer at harmattan-ai belong to?
This ML Ops Engineer position is part of the R&D department at harmattan-ai. See the full job description for more information about the team structure and responsibilities.
How do I apply for the ML Ops Engineer position at harmattan-ai?
Click the "Apply Now" button on this page. You will be redirected to harmattan-ai's official application portal hosted on ashby where you can submit your application directly.
When was the ML Ops Engineer job at harmattan-ai posted?
This ML Ops Engineer position at harmattan-ai was posted on Aug 5, 2026. Apply as soon as possible β€” early applications are often reviewed first.
ML Ops Engineer
harmattan-ai
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