Role: ML Engineer
Location: Minneapolis MN (Onsite)
Duration: 12+ Month Contract - Only Locals
Key Skills: Machine Learning, Python, ML Pipelines, Model Deployment, Model Serving, Data Engineering, Model Monitoring, Drift Detection, Performance Optimization, Automated Testing
Job Description:
Role Summary: Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
Responsibilities:
Translate data science prototypes into production-grade ML services and pipelines.
Build training and inference code with reproducibility, versioning, and automated testing.
Implement scalable model serving (online/offline), batching, and latency/throughput optimization.
Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).
Collaborate with Data Engineering on feature pipelines and data contracts.
Own production health: drift detection, performance regression, rollback strategies, and incident response.
About Us WinningEdge:
Job Search can be a painful & frustrating process. We take time to understand candidate skill sets, and job search preferences and match them with our ideal clients. Our team has a combined experience of over 100 years and we have successfully placed hundreds of candidates.
ML EngineerMinnesota
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