Job Information
HCA Healthcare Senior Machine Learning Reliability Engineer in Nashville, Tennessee
Description
Introduction
Do you have the career opportunities as a Senior Machine Learning Reliability Engineer you want with your current employer? We have an exciting opportunity for you to join HCA which is part of the nation's leading provider of healthcare services, HCA Healthcare.
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 (https://careers.hcahealthcare.com/pages/employee-benefits-and-rewards)
Note: Eligibility for benefits may vary by location.
Our teams are a committed, caring group of colleagues. Do you want to work as a Senior Machine Learning (ML) Reliability Engineer where your passion for creating positive patient interactions are valued? If you are dedicated to caring for the well-being of others, this could be your next opportunity. We want your knowledge and expertise!
Job Summary and Qualifications
As a Senior ML Reliability Engineer in our Data Science team, you will be instrumental in building, managing, and maintaining the tools and infrastructure that ensure the reliability and efficiency of our Machine Learning Operations (MLOps) platform. This role requires a balance of technical expertise in reliability engineering and operational skills to maintain and optimize AI systems and infrastructure.
Key Responsibilities:
Tool Development and Management: Build, manage, and maintain tools for system reliability, including dashboards, logging systems, and pager systems.
Infrastructure Maintenance: Help maintain and enhance our CI/CD pipelines, logging infrastructure, and other operational systems crucial for MLOps.
Monorepo Management: Keep the monorepo up-to-date with the latest dependency and security updates, ensuring a secure and efficient development environment.
Vendor Collaboration: Assist in implementing and maintaining infrastructure and systems managed by external vendor teams.
Incident Management: Lead and participate in incident management processes, including troubleshooting, root cause analysis, and implementing corrective measures to prevent future occurrences.
Technical Skills and Experience:
AI/ML Knowledge: Solid understanding of AI/ML principles and technologies.
System Monitoring and Tools: Experience with system monitoring tools and observability. Knowledge of GCP, Vertex AI, or other cloud platforms is highly beneficial.
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.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
5+ years of experience in the technology field
Proven experience in a reliability engineering role, preferably with a focus on AI/ML systems.
Experience in incident management and performance optimization.
Excellent communication and teamwork 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.
"Bricks and mortar do not make a hospital. People do."- 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 Senior Machine Learning Reliability 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.