[Hiring] Manager, Machine Learning Operations @Intermountain Health

Role 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.

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.

Requirements

• 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.

Benefits

• 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.
• Eligible to participate in the Annual Pay for Performance (AP4P) Plan.
• 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.

Company Description

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.