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Role: ML Ops Engineer Location: Concord, CA Key Responsibilities Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
Title: ML Ops Engineer Location: Concord, California, United States (Only locals who can go inperson interview) Duration: 12 Months Contract Overview Tachyon Cortex Machine Learning AI team seeking a ML Ops Engineer to drive the full
Work ScheduleStandard (Mon-Fri) Environmental ConditionsOffice Job DescriptionAs part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life