Assistant Vice President Machine Learning Engineer

Assistant Vice President Machine Learning Engineer Location Remote in Nashville, TN : This position is incentive eligible. Introduction 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 an Assistant Vice President (AVP) Machine Learning Engineer today with Work from Home.
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 an AVP Machine Learning Engineer. We care for our community! Just last year, HCA Healthcare and our colleagues donated $13.8 million dollars to charitable organizations. Apply Today!
Job Summary and Qualifications At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. The AVP of Machine Learning Engineering will play a critical role in helping us achieve this goal by developing innovative digital products that leverage data science to improve patient outcomes.
The AVP of Machine Learning (ML) Engineering is responsible for designing, building, scaling, and maintaining foundational AI models, algorithms, and machine learning platform capabilities to host the end-to-end lifecycle of data science products. As an engineering leader in HCA's Care Transformation and Innovation team, this role drives all the technical aspects from incubation through the Minimum Lovable Product stage in a cross-functional environment. This role works closely with IT and Security teams, data scientists, business stakeholders, care providers, and academic and industry partners to enable agile development of machine learning solutions that leverage large volumes of internal and external data.
Key Responsibilities: Responsible for delivering tools and reference architectures for common patterns in MLOps. Responsible for integrating Responsible AI policies with the MLOps lifecycle. Responsible for incubating early-stage ideas in partnership with clinical leadership using a design thinking approach. Demonstrate desirability, feasibility and viability of the product. Oversee and mentor a team of machine learning engineers, cloud engineers, and data scientists. Partner with HR and Vendor Management offices to build and grow ML Engineering practice. Responsible for hiring, training, and developing Machine Learning Engineers. Provide technical product management to a cross-functional team of Cloud Engineering, Data Platforms, and Responsible AI to build enterprise-grade code-centric and low-code MLOps platforms. Partner with IT, Security, Data Governance and Ethics and Compliance teams to implement regulatory controls in AI development while maintaining lean MLOps practices. Partner with Data Science and App Delivery teams for a smooth transition to enterprise-scale development and sustainment. Be a champion of a great developer experience for Data Scientists. Seek continuous improvement in DORA metrics through feedback and automation. Stay current with the latest developments in healthcare AI and ML engineering. Work with directors and program managers to develop and maintain project plans, budgets, and timelines. Communicate with senior management and stakeholders to ensure alignment of goals and priorities. Develop and track engineering OKRs. Ensure the team follows best practices in cloud architecture, machine learning, and data engineering. This job may require up to 25% travel. Education: Bachelors Degree Required Master Degree Preferred Knowledge, Skills, Abilities, Behaviors: REQUIREMENTS
15+ years of full-stack experience building and scaling data/digital products. 5+ years of experience managing and mentoring a team of data scientists and machine learning engineers and their career development. 5+ years of experience building and deploying AI/ML solutions in production. Expert in using the full lifecycle of MLOps platforms such as GCP VertexAI or AWS Sagemaker in agile model delivery and operations. Experience in data de-identification techniques, synthetic data generation, and PHI and PII data handling with robust governance. Prior programming experience in Python, Java, or Infrastructure-as-Code. Proficiency in statistics and data science. Experience with SQL, NoSQL databases, and distributed computing. Strong communication skills and ability to present complex technical concepts to non-technical stakeholders. Decisive leadership with empathy and kindness. PREFERRED
A combination of start-up and enterprise experience. Experience in the healthcare domain. Experience working with R&D and academic partners in incubating novel solutions and intellectual property. Experience with GCP cloud native services and serverless/ephemeral architectures. Conceptual understanding of Generative AI, LLMs and Transformer architecture. Outcomes :
Deliver foundational AI components Deliver engineering OKRs for MLOps Incubate ideas into Minimum Loveable Products. 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.
"The great hospitals will always put the patient and the patient's family first, and the really great institutions will provide care with warmth, compassion, and dignity for the individual."- Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder
If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Assistant Vice President Machine Learning Engineer opening. We promptly review all applications. Highly qualified candidates will be contacted for interviews. Unlock the possibilities and apply today! 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.