Remote MLOps Lead: AI Deployment & Operations

Intermountain Healthcare Inc.

Boise (ID)

Remote

USD 82,000 - 127,000

Full time

5 days ago
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Job summary

Intermountain Health is seeking a hands-on Machine Learning Operations Manager to lead deployment and monitoring of enterprise ML products. This remote role supports Select Health and collaborates across AI, data engineering, software, and security teams to drive cost reductions and better member outcomes.

You will mentor ML engineers, shape the MLOps roadmap, ensure responsible AI practices, and deliver projects that meet clinical, business, and technical needs while enabling agile innovation.

Qualifications

  • Demonstrated experience delivering ML operations infrastructure and solutions.
  • Experience with CI/CD and tools like Docker, Kubernetes, and Git.
  • Experience with Infrastructure-as-Code tools such as Terraform and Databricks Asset Bundles.
  • Strong leadership to motivate and guide high-performing teams.

Responsibilities

  • Oversee strategic direction of MLOps tech stack.
  • Coordinate ML operations and data engineering product development and management.
  • Build and train ML engineering teams and coach leads.
  • Ensure timely, quality delivery meeting clinical, business, and technical needs.
  • Integrate ML solutions into enterprise processes with governance and explainability.

Skills

Machine Learning Operations
Cloud Platforms
Artificial Intelligence and Machine…

Education

Bachelor's degree in AI/ML/CS/Stats

Tools

Docker
Kubernetes
Terraform
Databricks Asset Bundles
Spark
TensorFlow
MLFlow
LangChain

Job description

Intermountain Health is seeking a hands-on Machine Learning Operations Manager to lead deployment and monitoring of enterprise ML products. This remote role supports Select Health and collaborates across AI, data engineering, software, and security teams to drive cost reductions and better member outcomes.

You will mentor ML engineers, shape the MLOps roadmap, ensure responsible AI practices, and deliver projects that meet clinical, business, and technical needs while enabling agile innovation.

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