Description
Intermountain Health and Select Health utilise industry-leading data science and artificial intelligence to deliver on their mission to 'Help people have the healthiest lives possible.' As a Machine Learning Operations Manager, you will oversee the deployment and monitoring of machine learning products, leading a team of machine learning operations engineers and data engineers. You will drive measurable reductions in healthcare costs and improvements in member health while enhancing the member experience.
Key Responsibilities:
- Provide strategic direction for the MLOps tech stack
- Manage partnerships with AI and ML engineering, data engineering, software engineering, cybersecurity, and cloud operations teams
- Ensure efficient application of Responsible AI values to monitor and assess internal and third-party machine learning solutions
- 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
- Mentor and coach machine learning operations engineering leads
- Manage and execute the machine learning operations projects portfolio
- Integrate machine learning solutions into key enterprise business processes
- Stay updated with industry trends and advancements in machine learning
- Support innovation through research initiatives
- Recruit, train, and coach machine learning operations personnel
Requirements:
- Demonstrated experience delivering and implementing successful machine learning operations infrastructure and solutions
- Experience with DevOps best practices and tools such as Docker, Kubernetes, and Git
- Experience with Infrastructure-as-Code tools such as Terraform and Databricks Asset Bundles
- Strong leadership skills
- Excellent communication and interpersonal skills
- Solid understanding of machine learning methodologies, algorithms, and frameworks
- Experience with machine learning tools and programming languages such as Python, R, SQL
- Experience with machine learning production frameworks including Spark, Tensorflow, MLFlow, & LangChain
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 a related industry
Benefits:
- Competitive salary ($59.50 - $91.84 per hour)
- Comprehensive benefits package
- Annual Pay for Performance (AP4P) Plan
- Sign-on and relocation bonus (when applicable)