Principal Machine Learning Operation Architect WFH

Key Skills

AI technology, Computer Vision (CV), Data science techniques, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Python Programming

Job Description

Are you passionate about the patient experience? At HCA Healthcare, we are committed to caring for patients with purpose and integrity. We care like family! Jump-start your career as a Principal Machine Learning Operations Architect WFH today with HCA.

Benefits

HCA offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:

• Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.
• Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.
• Free counseling services and resources for emotional, physical and financial wellbeing
• 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)
• Employee Stock Purchase Plan with 10% off HCA Healthcare stock
• Family support through fertility and family building benefits with Progyny and adoption assistance.
• Referral services for child, elder and pet care, home and auto repair, event planning and more
• Consumer discounts through Abenity and Consumer Discounts
• Retirement readiness, rollover assistance services and preferred banking partnerships
• Education assistance (tuition, student loan, certification support, dependent scholarships)
• Colleague recognition program
• Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)
• Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.

Learn more about Employee Benefits

Note: Eligibility for benefits may vary by location.

Come join our team as a Principal Machine Learning Operations Architect WFH. We care for our community! Just last year, HCA Healthcare and our colleagues donated $13.8 million dollars to charitable organizations. Apply Today!

The Principal ML Architect of MLOps will play a critical role in our Data Science team, 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 lead a team in building and maintaining a robust, efficient, and cutting-edge MLOps platform.

Key Responsibilities:

• Architectural Leadership: Lead the architecture and design of our MLOps platform, with a focus on GCP Vertex AI and Kubeflow related platforms.
• Responsible AI Solutions: Develop solutions focused on Responsible AI, including explainability, data drift detection, and fairness metrics. Ensure adherence to ethical AI practices.
• Developer Experience: Drive enhancements to the MLOps platform to optimize developer experiences for data and ML engineers, incorporating streamlined workflows and advanced tools.
• Collaboration with AI/ML Experts: Collaborate with AI/ML experts across domains such as Computer Vision, NLP, Forecasting, LLMs, and synthetic data. Integrate the latest advancements 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.
• Experience in Platform Development: Candidates should have prior experience working with platform teams, especially in the data and AI/ML space.
• Cloud Platform Expertise: Proficiency in cloud platforms is essential. Experience in expanding platforms to on-premises and edge deployments 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.
• Travel: May include up to 25% travel

Qualifications:

• 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.
• 10+ years of experience in the technology or data field
• Proficient engineering and coding skills in Python and other languages.
• Strong background in AI/ML or Data Sciences technologies and platform development.
• Great multi-disciplinary knowledge of technology space (data, cloud, UI, security)
• Excellent communication, leadership, and project management skills.

HCA Healthcare (Corporate), based in Nashville, Tennessee, supports a variety of corporate roles from business operations to administrative positions. Like our colleagues in any HCA Healthcare hospital, our corporate campus employees enjoy unparalleled resources and opportunities to reach their potential as healthcare leaders and innovators. From market rate compensation to continuing education and career advancement opportunities, every person has a solid foundation for success. Nashville is also home to our Executive Development Program, where exceptional employees are groomed to take on CNO- and COO-level roles in our hospitals. This selective program focuses on ethics, leadership and the financial and clinical knowledge required of professionals at this level of the industry.

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.