ML Engineer
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Job Location:
Minneapolis, MN - USA
Monthly Salary:
Not Disclosed
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
ML Engineer (onsite at Minneapolis MN) Local or must relocate in 1-2 months
Location: Minneapolis MN/ Connecticut
Job Description:
- Translate data science prototypes into production-grade ML services and pipelines.
- Should have 6 Years hands on Experience as in ML engineer.
- 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
