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Sr Machine Learning Engineer (15+ years IT exp)

SidmansMinneapolis, MN🇺🇸United StatesPosted 29 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to translate cutting-edge data science prototypes into robust, production-grade ML services within a reputable company. You'll thrive here if you have extensive IT experience and a passion for building scalable ML pipelines, and you'll enjoy the flexibility to work from Minneapolis or Hartford. Apply now to advance your career in a dynamic tech environment.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Minneapolis, MN, United States
Posted
6 weeks ago
DockerMLOpsKubernetesPyTorchPythonRESTTensorFlow

Job Description

Minneapolis, MN or Hartford, CT

- 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.
""- Software engineering with 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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