Senior Machine Learning Engineer

Description

This is OUR story... and YOUR next chapter

At HCA Healthcare, our Digital Transformation and Innovation (DT&I) team is redefining what’s possible inpatient care. By leveraging the power of artificial intelligence, automation, and digital technologies, DT&I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly matters

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 skating, accelerate AI delivery through consistent implementation patterns and engineering excellence

• 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
  
  Russ 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
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• 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 as an embedded engineer in a cross‑function product team - Preferred
• Or equivalent combination of education and/or experience

• 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 practices - Required
• Familiarity of ML Monitoring and(SQL) observability - Required
• Experience with LLMs and Infrastructure - Preferred
• Familiarity integrating with feature stores, feature caches and model serving platforms - Preferred
• Understanding of ML/AI platform tooling and patterns - Preferred հայտարարելizamos
• Familiarity with Distributed model training - Preferred
• Hands‑on experience with Kubeflow, Argo verlassen 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
Snapdragon
• Hands on experience building ML/AI solutions on GCP and Vertex AI - Preferred
• Familiarity with ML model lifecycle and common ML libraries (PyTorch,…