Manager, Machine Learning Operations

This is a fully remote position, open to applicants in Utah.

📋 Description

• Supervise the deployment and oversight of machine learning products at Select Health.

• Achieve quantifiable decreases in healthcare expenses and enhancements in member health while elevating the member experience.

• Guide and mentor machine learning operations engineers and data engineers.

• Establish the strategic vision for the MLOps technology framework.

• Manage collaborations across AI/ML engineering, data engineering, software engineering, cybersecurity, cloud operations, as well as business and technical leadership.

• Evaluate and monitor internal and third-party machine learning solutions by applying Responsible AI principles.

• Implement the strategic vision and roadmap for AI and ML.

• Oversee the development and management of machine learning operations and data engineering products.

• Create and cultivate high-performing machine learning engineering teams while promoting employee engagement.

• Mentor and coach MLOps engineering leaders regarding team dynamics and project execution.

• Oversee the machine learning operations project portfolio, ensuring timely and quality deliverables.

• Integrate machine learning solutions into enterprise business processes and decisions, utilizing frameworks for algorithm governance, ethics, and explainability.

• Monitor industry trends and adopt emerging practices and technologies in machine learning.

• Conduct research initiatives and investigate new methodologies and applications in machine learning.

• Recruit, train, and mentor machine learning operations staff.

⛳️ Requirements

• Proven experience in delivering and implementing effective machine learning operations infrastructure and solutions.

• Familiarity with DevOps best practices, including CI/CD, Docker, Kubernetes, and Git.

• Proficient in Infrastructure-as-Code tools such as Terraform and Databricks Asset Bundles.

• Strong leadership abilities to inspire and direct high-performance teams.

• Exceptional communication and interpersonal skills, including the ability to engage with senior-level stakeholders.

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

• Proficient in machine learning tools and programming languages such as Python, R, and SQL.

• Experience with production frameworks, including Spark, TensorFlow, MLflow, and LangChain.

• Bachelor's degree in AI, ML, Computer Science, Statistics, or a related area (preferred).

• A minimum of 5 years of experience in machine learning, data science, data engineering, or software engineering (preferred).

• Experience in deploying Generative AI products into operational workflows (preferred).

• Background in health insurance, population health, or a related sector, with an understanding of medical economics (preferred).

• Capability to work remotely with occasional business travel as required.

• Availability for video interviews via Microsoft Teams and potential onsite interviews and meetings.

🏝️ Benefits

• Sign-on bonus when applicable.

• Relocation bonus when applicable.

• Annual Pay for Performance (AP4P) Plan.

• Comprehensive benefits package covering wellness, health, security, connection, and engagement programs.

• Option for remote work.

• Company-provided equipment and remote work support in accordance with applicable policies.