Description:
Key ResponsibilitiesDesign, develop, and maintain end-to-end ML pipelines using tools such as MLflow, Kubeflow, Vertex AI.Automate model training, validation, deployment, monitoring, and retraining in cloud environments (Google Cloud Platform, Azure, AWS).Implement and manage CI/CD workflows for the ML lifecycle, including:Model versioningPerformance monitoringAutomated retrainingMonitor model health and performance using observability tools; ensure compliance with model governance frameworks (M
Jan 6, 2026;
from:
dice.com