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Strategic Employment Partners (SEP) in Chicago is seeking a full-time Machine Learning Engineer. This hands-on role involves building new ML pipelines and models while maintaining and improving the existing production systems. The position offers a hybrid work model with 3 days onsite and 2 days remote.
The ideal candidate must have experience in MLOps and hands-on model management, with additional plusses including knowledge of SQL and Generative AI.
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
Hands-on work building, deploying, and maintaining models in production; contribute to building new ML pipelines and models and improve existing production systems.
Compensation: $120K - $150K + full benefits package
US work authorization required; sponsorship is not available.