Description:
Role: Data Science and ML Ops Engineer Location : hybrid (San Francisco, CA) Key Responsibilities Develop predictive models using structured/unstructured data across 10+ business lines, driving fraud reduction, operational efficiency, and customer insights. Leverage Auto ML tools (e.g., Vertex AI Auto ML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. Auto
Sep 15, 2025;
from:
dice.com