2 месяца назад
MLOps Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
MLOps Engineer (AI): Building controlled and reproducible machine learning infrastructure for autonomous defense systems with an accent on training and evaluation pipelines, CI, experiment tracking, and model lifecycle management. Focus on automating hardware-in-the-loop testing, ensuring comparable model runs, and reducing infrastructure friction for ML researchers.
Location: On-site in Paris, Lausanne, or Zurich
Company
is a defense technology company developing autonomous and scalable systems for allied forces.
What you will do
- Build and maintain reproducible training and evaluation pipelines, templates, and supporting tooling.
- Introduce CI practices for machine learning workflows and ensure runs are comparable across code, configuration, and models.
- Maintain the model lifecycle registry from sandbox through production.
- Implement experiment tracking and logging to keep results traceable and comparable.
- Automate on-device and hardware-in-the-loop test runs and collect their results.
- Enable ML modelers to focus on model development by providing reliable infrastructure.
Requirements
- Degree in a STEM field or equivalent practical experience.
- Production or research experience building and maintaining ML pipelines, CI, and experiment tracking.
- Strong Python and software engineering skills for infrastructure.
- Experience converting manual ML workflows into controlled and reproducible systems.
- Systematic, reliability-minded, pragmatic, and service-oriented approach.
- 100% commitment to the mission of developing ethical, high-impact defensive technology.
Nice to have
- Experience integrating pipelines with on-device or hardware-in-the-loop testing.
Culture & Benefits
- Work on autonomous defense systems with real-world impact.
- High standards of rigor, ownership, execution, and technical excellence.
- Opportunity to shape the infrastructure standard for a scaling ML organization.
- Mission-driven environment focused on ethical technology and supporting allied nations.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →