San Leandro, CA30+ days ago
Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability) Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs Qualifications Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). Leverage AutoML tools (e.g., Vertex AI AutoML, 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.