Description:
Location: Concord, CA (100% Onsite)Hire Type: Contract Employment Eligibility: and USC Role SummarySeeking a Senior MLOps Engineer to build, deploy, and operate production-grade ML systems. This role focuses on automating the ML lifecycle, enabling scalable cloud deployments, and ensuring model reliability, monitoring, and governance in an enterprise environment. Key ResponsibilitiesBuild and maintain end-to-end ML pipelines using MLflow, Kubeflow, or Vertex AI Automate model training, testing,
Jan 15, 2026;
from:
dice.com