Manager, Machine Learning Operations

Intermountain Healthcare Inc.; Murray (UT); Remote; USD 130,000 - 180,000; Full time

Job summary

Intermountain Health and Select Health seeks an experienced Machine Learning Operations Manager to lead deployment and monitoring of enterprise ML products. This hands-on leader will oversee MLOps at scale, mentor engineers, and drive cost reductions and health improvements through data-driven ML solutions.

You will mentor a team across AI/ML, data engineering, software, and cloud operations, ensuring responsible AI governance and alignment with business goals while delivering on strategic

Qualifications

• Demonstrated experience delivering and implementing 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 skills and ability to guide high-performing teams.
• Excellent communication with senior stakeholders.
• Solid understanding of ML methodologies, algorithms, and frameworks.

Responsibilities

• Accountability for strategic direction of MLOps tech stack.
• Manage AI/ML, data, software, cybersecurity, and cloud ops teams.
• Ensure responsible AI values are applied in monitoring solutions.
• Lead AI/ML roadmap and project execution.
• Coordinate ML operations and data engineering product development.
• Build and coach ML engineering teams and ensure best practices.
• Mentor ML operations leads and align with business goals.
• Oversee portfolio delivering solutions 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-L

Team Leadership

Programming and CI/CD Best Practices

Education

Bachelor's degree in AI, ML, Computer Science, Statistics, or a related field

Tools

Docker

Kubernetes

Git

Terraform

Databricks Asset Bundles

Job description

Intermountain Health and Select Health use industry-leading data science and artificial intelligence to deliver on our mission to "Help people have the healthiest lives possible"; making healthcare more affordable and higher quality; and making a difference in the patients and communities it serves.

The Machine Learning Operations Manager is a hands-on and results-oriented leader responsible for overseeing the deployment and monitoring of machine learning products. Specifically, this role supports Machine Learning Operations at Select Health and will consistently deliver measurable reductions in healthcare costs and improvements in member's health while improving the member experience.

This role leads and mentors a talented team of machine learning operations engineers and data engineers who enable deployment and monitoring of enterprise machine learning solutions at scale. This role fosters a culture of excellence, agility, and innovation.

Essential Functions

• Accountability for strategic direction of MLOps tech stack.


• Manage AI and ML engineering, data engineering, software engineering, cybersecurity, cloud operations and other team partnerships and strategic alignment with business and technical leaders across the company.


• Ensure efficient application of Responsible AI values to monitor and assess internal and 3rd party machine learning solutions.


• Engage team to execute on AI and ML strategic vision and roadmap.


• Coordinate machine learning operations and data engineering product development and product management.


• Build and train effective machine learning engineering teams, foster employee engagement, ensure best practices, and strategic alignment.


• Mentor and coach machine learning operations engineering leads in developing team culture and project execution.


• Manage and execute the machine learning operations projects portfolio, ensuring timely and quality delivery of solutions that meet the organization's clinical, business, and technical needs.


• Integrate machine learning solutions into key enterprise business processes and decisions, following best practices and frameworks for algorithm governance, ethics, and explainability.


• Keep up to date with industry trends and advancements in machine learning, applying the latest practices and technologies to enhance the organization's capabilities and competitiveness.


• Support innovation by conducting research initiatives and exploring new methodologies and applications of machine learning.


• Recruit, train, and coach machine learning operations personnel, building a strong and skilled team.

Skills

• Machine Learning Operations


• Cloud Platforms


• Artificial Intelligence and Machine Learning Development


• Team Leadership


• Programming and CI/CD Best Practices

Location

This position can be performed remotely with business travel as-needed. Intermountain Health maintains employment registration in Utah, Idaho, Nevada, Colorado, Montana, and Wyoming. Candidates in other locations may be considered. Currently, we are not hiring remote workers in the following states: CA, CT, HI, IL, MA, MN, NY, PA, RI, VT, and WA. Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings.

Minimum Qualifications:

• Demonstrated experience of delivering and implementing successful machine learning operations infrastructure and solutions.


• Experience with DevOps best practices such as continuous integration and continuous deployment (CI/CD) and tools such as Docker, Kubernetes, and Git.


• Experience with Infrastructure-as-Code tools such as Terraform and Databricks Asset Bundles.


• Strong leadership skills with the ability to motivate and guide high-performing teams.


• Excellent communication and interpersonal skills, with experience engaging with senior-level stakeholders.


• Solid understanding of machine learning methodologies, algorithms, and frameworks including agentic systems.


• Experience with machine learning tools and programming languages such as Python, R, SQL, etc.


• Experience with machine learning production frameworks including Spark, Tensorflow, MLFlow, & LangChain, etc.

Preferred Qualifications:

• Bachelor's degree in AI, ML, Computer Science, Statistics, or a related field.


• 5 years of experience in machine learning, data science, data engineering, or software engineering


• Experience deploying Generative AI products into operational workflows.


• Experience in health insurance, population health, or related industry with solid understanding of medical economics.

Physical Requirements

• Interact with others by effectively communicating, both orally and in writing


• Operate computers and other office equipment requiring the ability to move fingers and hands


• See and read computer monitors and documents


• Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment


• May require lifting and transporting objects and office supplies, bending, kneeling and reaching

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