**Description** **Introduction** Do you want to join an organization that invests in you as a Senior Machine Learning Engineer? At Work from Home, 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. **Benefits** Work from Home, 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._** 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 Senior Machine Learning Engineer like you to be a part of our team. **Job Summary and Qualifications** Drives implementation of AI Platform capabilities within an embedded product team through hands-on development and technical expertise. Actively contributes to AI development while following platform standards and patterns, writing high-quality code, and providing practical feedback for platform improvement. Leverages platform solutions to solve team-specific MLOps challenges while balancing team-specific needs with organizational standards. Partners with both product and platform teams to ensure effective adoption of platform capabilities, accelerating AI delivery through consistent implementation patterns and engineering excellence. **Major Responsibilities:** + Actively contribute to AI/MLOps development within assigned product team + Implement platform capabilities and patterns effectively + Write high-quality, maintainable code following team standards + Develop and maintain ML systems using platform capabilities + Implement robust CI/CD pipelines for ML models + Ensure proper testing and validation of ML systems + Balance team-specific needs with platform standardization + Champion platform adoption within a team + Follow and help refine platform patterns and best practices + Identify opportunities for leveraging platform capabilities + Provide feedback on platform features and usability + Help validate platform patterns through direct implementation + Share knowledge and experiences with other MLEs + Contribute to platform documentation and examples + Participate in code reviews with focus on platform patterns + Implement and maintain ML pipelines using platform tools + Document technical decisions and implementations + Follow established best practices and standards + Contribute to technical discussions and design reviews + Work closely with product team to understand AI development needs + Provide implementation feedback to platform team + Participate in technical discussions and knowledge sharing + Help identify opportunities for platform improvement **What qualifications you will need:** + Bachelor's degree - Required + Master's degree - Preferred + 5+ years of experience in software engineering with a focus on ML and AI System Engineering - Required + Experience working in as an embedded engineer in a cross-function product team - Preferred + Or equivalent combination of education and/or experience **Knowledge, Skills, Abilities, Behaviors:** + Strong technical background in ML engineering with demonstrated coding expertise - Required + Strong Python development expertise with focus on ML systems and AI/MLOps - Required + Familiarity of ML workflows and operational requirements - Required + Hands-on experience implementing model CI/CD pipelines - Required + Experience with modern Python development practices including type checking, testing frameworks, and package management - Required + History of successful collaboration with product teams - Required + Familiarity with ML Development Lifecycle management and MLOps best practice - Required + Familiarity of ML Monitoring and observability - Required + Experience with LLMs and Infrastructure - Preferred + Understanding of ML/AI platform tooling and patterns - Preferred + Familiarity with Distributed model training - Preferred + Hands-on experience with Kubeflow, Argo, MLFlow or other ML/AI Training orchestrators - Preferred + Familiarity of ML/AI metadata tools and model registries - Preferred + Hands-on experience with Terraform or other IaC tools - Preferred + Hands on experience building ML/AI solutions on GCP and Vertex AI - Preferred + Familiarity with ML model lifecycle and common ML libraries (PyTorch, scikit-learn, XGBoost, AutoGluon, CatBoost, TensorFlow, Keras) - Preferred + Familiarity with major LLM Models (Gemini, Cluade, ChatGPT, DeepSeek, LLaMA) - Preferred + Experience with FastAPI and async Python development - Preferred + Familiarity with modern Python tooling (uv, mypy, ruff, bandit) - Preferred + Experience with prompt management and versioning systems - Preferred + Understanding of RAG architectures and token optimization - Preferred + Experience writing and optimizing ML/AI tooling and components in C++ or Rust - Preferred + Experience with LLMs and Infrastructure - Preferred + Experience integrating with feature stores, feature caches and model serving platforms - Preferred **Work Location/Schedule:** + Remote - U.S. + Preference given to those who are interested in relocating to Nashville and working in office 3 days/week. **Travel Required:** + Up to 25% travel for quarterly and/or team meetings "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 Senior Machine Learning Engineer opening. Qualified candidates will be contacted for interviews. **Submit your resume today to join our community of caring!** We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.