Machine Learning Engineer (MLOps Production ML Engineer)
Job Location:
Hartford, CT - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
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 TensorFlow PyTorch Docker REST APIs
