Manager Machine Learning Operations

at  HCA Healthcare

INTRODUCTION

Do you want to join an organization that invests in you as a Manager Machine Learning Operations? At HCA Healthcare, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.

NOTE: ELIGIBILITY FOR BENEFITS MAY VARY BY LOCATION.

You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Manager like you to be a part of our team.

JOB SUMMARY AND QUALIFICATIONS

Position Summary
The Manager of MLOps will play a critical role in our MLOps Practice within ITG, focusing on the development and enhancement of our Machine Learning Operations (MLOps) platform. This role demands a unique blend of cloud architecture expertise, AI/ML knowledge, and leadership skills to manage a team of skilled professionals in building and maintaining a robust, efficient, and cutting-edge MLOps platform.

Major Responsibilities:

• Leadership and Team Management: Direct and manage a team of cloud architects and ML engineers in designing and building our ML Ops platform. Foster a collaborative and innovative environment and ensure alignment with project goals.
• Responsible AI Solutions: Develop solutions focused on Responsible AI, including but not limited to explainability, data drift detection, and fairness metrics. Ensure adherence to ethical AI practices.
• Platform Development: Enhance the MLOps platform to improve developer experiences for data and ML engineers. This includes streamlining workflows and integrating advanced tools and technologies.
• Collaboration with AI/ML Experts: Liaise with specialists in Computer Vision, NLP, Forecasting, Large Language Models (LLM), predictions, synthetic data, and other AI/ML domains. Incorporate the latest advancements from these fields into the MLOps platform.
• AI/ML Reliability and Observability: Work closely with the AI/ML Reliability engineering team to develop components that ensure the reliability and observability of our platform.
• Cross-Disciplinary Knowledge: While primarily focused on AI/ML, this role also requires knowledge in related disciplines such as data sciences and health/biology sciences.
• Experience in Platform Development: Candidates should have prior experience working with platform teams, especially in the data and AI/ML space.

Technical Skills and Experience:

• Cloud Platform Expertise: Proficiency in cloud platforms is essential. Experience in expanding platforms to on-premises and edge deployment. Expertise with IaC and supporting enterprise scale is a plus.
• Cross-functional Collaboration: Ability to work closely with peer cloud teams, data scientists, and product managers to align platform development with organizational objectives.
• AI/ML Expertise: Solid understanding of AI/ML principles and technologies and experience managing and supporting large scale implementation.
• Programming and Scripting: Proficiency in programming languages such as Python and scripting for automation.
• Problem-Solving Skills: Strong analytical and problem-solving skills, with the ability to work under pressure

Education & Experience:

• Bachelor’s degree required
• Master’s degree preferred

Or equivalent combination of education and/or experience
Knowledge, Skills, Abilities, Behaviors Required:

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field is preferred, but not mandatory for candidates demonstrating significant experience and a proven track record in the field of AI/ML and platform development.; Master’s or higher degree is a plus.

• Proven experience in managing and leading cloud architecture and engineering teams.
• At least 8 years of total related experience required, with at least 3 years of managerial experience included.
• Strong background in AI/ML or Data Sciences technologies and platform development.
• Demonstrated capability in leading Responsible AI initiatives.
• Excellent communication, leadership, and project management skills.

HCA Healthcare has been recognized as one of the World’s Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.
“Good people beget good people."- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Manager opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

• Leadership and Team Management: Direct and manage a team of cloud architects and ML engineers in designing and building our ML Ops platform. Foster a collaborative and innovative environment and ensure alignment with project goals.
• Responsible AI Solutions: Develop solutions focused on Responsible AI, including but not limited to explainability, data drift detection, and fairness metrics. Ensure adherence to ethical AI practices.
• Platform Development: Enhance the MLOps platform to improve developer experiences for data and ML engineers. This includes streamlining workflows and integrating advanced tools and technologies.
• Collaboration with AI/ML Experts: Liaise with specialists in Computer Vision, NLP, Forecasting, Large Language Models (LLM), predictions, synthetic data, and other AI/ML domains. Incorporate the latest advancements from these fields into the MLOps platform.
• AI/ML Reliability and Observability: Work closely with the AI/ML Reliability engineering team to develop components that ensure the reliability and observability of our platform.
• Cross-Disciplinary Knowledge: While primarily focused on AI/ML, this role also requires knowledge in related disciplines such as data sciences and health/biology sciences.
• Experience in Platform Development: Candidates should have prior experience working with platform teams, especially in the data and AI/ML space