About the role

Sr AI ML Engineer 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).

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JOB OVERVIEW

Experience level

Senior

Location

Denver, CO

Occupation

Software Developers

Industry

Custom Computer Programming Services

Posted

3 days ago

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