Remote ML Ops Lead: AI Platform & Delivery

Intermountain Healthcare Inc.; Colorado; Remote; USD 82,000 - 127,000; Full time

Job summary

Intermountain Health seeks a leader to own the MLOps stack and drive AI/ML engineering across the enterprise. You will mentor teams, align with business leaders, and ensure responsible AI governance and deployment of ML solutions in clinical and operational workflows.

The role supports remote work with travel as needed, and offers competitive compensation with a path to impactful healthcare innovations through data science at Intermountain Health.

Qualifications

• Demonstrated experience delivering and implementing ML ops infrastructure.
• CI/CD practices and tools such as Docker, Kubernetes.
• 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.

Responsibilities

• Accountability for strategic direction of MLOps tech stack.
• Manage AI and ML engineering, data engineering, software engineering, cybersecurity, cloud operations and partnerships.
• Ensure efficient application of Responsible AI values to monitor and assess internal and 3rd party ML.
• 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 ML

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

Terraform

Databricks Asset Bundles

Spark

TensorFlow

MLFlow

LangChain

Job description

Intermountain Health seeks a leader to own the MLOps stack and drive AI/ML engineering across the enterprise. You will mentor teams, align with business leaders, and ensure responsible AI governance and deployment of ML solutions in clinical and operational workflows.

The role supports remote work with travel as needed, and offers competitive compensation with a path to impactful healthcare innovations through data science at Intermountain Health.