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.
#J-18808-Ljbffr