ML Ops Engineer

The role

You will own the machinery for training and evaluation pipelines, CI, experiment tracking, and reproducibility. You will build and maintain automated workflows to ensure models are trained, benchmarked, and compared in a controlled way.

What you will do

• Build and maintain reproducible training and evaluation pipelines
• Build pipeline templates and tooling
• Bring CI to ML work to make runs comparable across code, config, and models
• Maintain a model lifecycle registry from sandbox to production
• Keep results comparable and traceable across the team
• Wire on-device and hardware-in-the-loop test runs into automation and collect results

Required qualifications

• A degree in a STEM field, or equivalent practical experience
• Built and maintained ML pipelines, CI, and experiment tracking in a real production or research setting
• Strong in Python and software engineering for infrastructure
• Systematic, reliability-minded, and service-oriented
• Pragmatic and good at reducing friction
• 100% dedication to Harmattan AI's mission

Nice to have

• Experience wiring pipelines to on-device or hardware-in-the-loop testing

About the company

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. The company is expanding its teams following a $200M Series B.