Manager, Machine Learning Operations

Intermountain Healthcare Inc.; Idaho; A distancia; USD 83.000 - 127.000; Jornada completa

Descripción de la vacante

Intermountain Health and Select Health collaborate on advanced data science initiatives to deliver on the mission of healthier lives and more affordable care.

The role leads ML operations, builds high-performing teams, and aligns AI strategy with business objectives while ensuring governance, ethics, and explainability in deployed models. This remote position includes travel as needed.

Formación

• Demonstrated experience delivering ML ops infrastructure and solutions.
• Experience with CI/CD and tools like Docker, Kubernetes, Git.
• Experience with Infrastructure-as-Code tools such as Terraform and Databricks Asset Bundles.
• Strong leadership to motivate and guide high-performing teams.
• Excellent communication with senior stakeholders.
• Solid understanding of ML methodologies and frameworks including agentic systems.

Responsabilidades

• Provide strategic direction for MLOps tech stack.
• Lead AI/ML engineering, data engineering, software engineering, cybersecurity, and cloud ops teams.
• Apply Responsible AI values to monitor and assess ML solutions.
• Coordinate ML operations and data engineering product development.
• Mentor ML engineers and drive best practices and execution.

Conocimientos

ML Ops

Cloud Platforms

AI/ML Development

Team Leadership

CI/CD Practices

Educación

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

Herramientas

Docker

Kubernetes

Git

Terraform

Databricks Asset Bundles

Descripción del empleo

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.

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

Additional Information

This is an exempt, full-time position. Pay offers are determined by prior years of relevant experience within the established pay range. In addition to the annual salary, to show our commitment to you and assist with your transition, we may offer a sign-on and relocation bonus when applicable. With this position, you are eligible to participate in the Annual Pay for Performance (AP4P) Plan. This plan enables Intermountain Health to provide leaders with an additional performance compensation opportunity. The AP4P award opportunities are calculated as a percentage of your base salary. Awards are paid out based on attainment of selected Board-approved goals.

Location

SelectHealth - Murray

Work City

Murray

Work State

Utah

Scheduled Weekly Hours

40

The hourly range for this position is listed below. Actual hourly rate dependent upon experience.

$59.50 - $91.84

We care about your well-being – mind, body, and spirit – which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.

Learn more about our comprehensive benefits package here.

Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process.