MLOps Engineer

Job Description

• Ideal profile: Hybrid ML Engineer + MLOps background, with the ability to understand/fine-tune models while also productionizing POCs and supporting deployed models.
• Core responsibilities: Move POCs into production and build supporting systems to monitor, validate, and train models.
• Technical background: Strong software engineering skills, including Python, object-oriented/functional programming, CI/CD, Docker, Azure, PyTorch, Git, and pytest/unit testing.
• AI tooling: Experience with LangGraph is relevant, though the team is now pivoting toward Microsoft agents.
• Testing: Functional, integration, validation, and unit testing experience.
• Ways of working: Uses SAFe Agile. The person should adapt quickly, be proactive, and bring forward ideas.

Additional area: Observability is also called out as relevant.

Skills and Requirements

MLE x MLOPS Hybrid

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].