Machine Learning Engineer
$120,000–$150,000 year
Hybrid · Chicago, Illinois, United States
Job Summary
Hands-on, individual-contributor Machine Learning Engineer to build new ML pipelines and models, deploy and maintain models in production, and improve existing production systems. Role entails end-to-end ML work including data ingestion, training, evaluation, and operationalization with a strong emphasis on MLOps. Hybrid work arrangement: 3 days onsite, 2 days remote in Downtown Chicago. Requirements include 4+ years of ML engineering experience and Python proficiency; nice-to-have skills include AWS SageMaker, Generative AI, and SQL. US work authorization is required; sponsorship is not available.
Required Qualifications
- 4+ years of Machine Learning engineering experience
- Hands-on experience building, deploying, and maintaining models in production
- Python experience
- Full pipeline experience including data ingestion, training, and evaluation
- Understanding of MLOps
Additional Requirements
- US work authorization required; sponsorship is not available.
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