Machine Learning Engineer

Minneapolis, MN - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Role Summary:-

Builds trains and tunes machine learning models. Translates data science experiments into scalable production-ready ML solutions.

Ker 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 Qualification:-

- 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).

Nice to have:-

- Experience with feature stores model registries and model monitoring stacks.

- GPU optimization and distributed training experience.

- Experience with responsible AI toolkits and compliance requirements.

Required Experience:

Role Summary:-Builds trains and tunes machine learning models. Translates data science experiments into scalable production-ready ML solutions.Ker Responsibilities - Translate data science prototypes into production-grade ML services and pipelines.- Build training and inference code with reproducibi...