A well-established, publicly traded company in Chicago is hiring its first full-time Machine Learning Engineer. After two years of running ML systems in production through an outside consulting firm, this organization is building the capability in-house. This is a hands-on individual contributor role where you would be building new ML pipelines and models, while also maintaining and improving what is already in production.

Hybrid: 3 days onsite, 2 days remote

Downtown Chicago

What You Bring:

• 4+ Machine Learning engineering experience
• Hands-on work building, deploying, and maintaining models in production
• Python experience
• Full pipeline experience: data ingestion, training, evaluation
• Understand MLOps

Pluses:

• AWS SageMaker experience
• Generative AI
• SQL and/or other relational databases

US work authorization required; sponsorship is not available.

If this sounds like the right scope for where you are in your career, we would like to hear from you.