New York, New York
•
Today
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 regre
Easy Apply
Third Party, Contract
60+



