What are the responsibilities and job description for the AI/ML or Machine Learning Engineer - local to Hartford, CT, OR Minneapolis, MN position at Jobs via Dice?
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Role: Machine Learning Engineer Location: Onsite (Hartford, CT, OR Minneapolis, MN) locals preferred. Contract position
Role Summary:
Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
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.
Role: Machine Learning Engineer Location: Onsite (Hartford, CT, OR Minneapolis, MN) locals preferred. Contract position
Role Summary:
Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
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.