We are seeking a highly skilled ML/Data Engineer to lead model development, experiment tracking, and end to end machine learning operations across Domino and Amazon SageMaker. This role will drive model lifecycle quality, governance alignment, and engineering excellence. Responsibilities • Own the monitoring, tracking, and maintenance of ML models across Domino and SageMaker platforms. • Implement MLflow for parameters, metrics, artifact management, and end to end lineage. • Build and maintain scalable data pipelines for training, validation, and inference processes. • Develop custom evaluation metrics, explainability components, and fairness/bias testing frameworks. • Package models for deployment and support model lifecycle transitions across environments. • Collaborate with data scientists, engineering teams, and governance stakeholders to ensure compliance and operational readiness.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed