Machine Learning Engineer (MLOps Production ML)

Hartford, CT - USA

Monthly Salary: Not Disclosed

Posted on: 4 days ago

Vacancies: 1 Vacancy

Job Summary

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

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. Integra...