Consulting ML Ops Engineer

DescriptionIntroductionDo you have the career opportunities as a Machine Learning Operations Engineer you want with your current employer? We have an exciting opportunity for you to join HCA Healthcare which is part of the nation's leading provider of healthcare services, HCA Healthcare.BenefitsHCA Healthcare, 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 BenefitsNote: Eligibility for benefits may vary by location.Our teams are a committed, caring group of colleagues. Do you want to work as a Machine Learning Operations Engineer where your passion for creating positive patient interactions is 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 QualificationsPosition SummaryThe Staff MLOps Engineer 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, in building and maintaining a robust, efficient, and cutting-edge MLOps platform.Major Responsibilities:• 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.• Responsible AI Solutions: Develop solutions focused on Responsible AI, including but not limited to explain ability, data drift detection, and fairness metrics. Ensure adherence to ethical AI practices.• DevOps: Candidates should have extensive experience in building and managing DevOps pipelines for ML Workloads.• Tool Development and Management: Build, manage, and maintain tools for system reliability, including dashboards, logging, and alerting systemsTechnical Skills and Experience:• 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.• AI/ML Knowledge: Solid understanding of AI/ML principles and technologies.• 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.ExperienceMinimum of 5 years of relevant work experience requiredEDUCATIONBachelor’s degree requiredKnowledge, Skills, Abilities, Behaviors: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.;• Proven experience in managing and leading cloud architecture and engineering teams.• 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."Bricks and mortar do not make a hospital. People do."- Dr. Thomas Frist, Sr.HCA Healthcare Co-FounderIf you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Machine Learning Operations 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.