Job Title : ML Engineer

Location : Minneapolis, MN

Duration: Contract

Job Description ::

• 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."

• "5+ years software engineering with 2+ years shipping ML models to production.

• Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).

• Experience with containers and orchestration (Docker/Kubernetes) and API development.

• Understanding of ML system design (data leakage, training-serving skew, drift).

• CI/CD and DevOps practices applied to ML workloads (MLOps)."

• "Experience with feature stores, model registries, and model monitoring stacks.

• GPU optimization and distributed training experience.

• Experience with responsible AI toolkits and compliance requirements."

• Python, TensorFlow, PyTorch, Docker, REST APIs

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