Machine Learning Engineer

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.