AI Ops Engineer
Job Location:
Eden Prairie, MN - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Role Summary
Builds trains and tunes machine learning models. Translates data science experiments into scalable production-ready ML solutions.
Key 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.
Required Qualifications
- 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 CI/CD and DevOps practices applied to ML (MLOps)
