Apply on Employer Site

HCA Healthcare · 5 hours ago

Lead Machine Learning Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

7+ years exp

HCA Healthcare is seeking a Lead Machine Learning Engineer to lead technical implementation and adoption of AI Platform capabilities. This role involves mentoring other Machine Learning Engineers, contributing to AI Platform development, and ensuring best practices in engineering standards are followed.

BiotechnologyHealth CareHospitalMedicalPrimary and Urgent Care

No H1B

Responsibilities

Partner with platform and product managers to identify and prioritize foundational platform capabilities

Inform the definition and implementation of technical standards and patterns across the platforms and product teams

Collaborate on technical and architectural direction for critical platform components

Participate in technical discussions and decision-making processes for key platform features

Mentor embedded MLEs in engineering best practices and platform tooling and adoption

Help evaluate and make recommendations on technical approaches and new technologies

Actively contribute to AI/MLOps development within assigned product team

Drive adoption of platform capabilities through example and technical guidance

Implement and validate platform patterns within pod

Help identify and solve common challenges across pods

Balance pod-specific needs with platform standardization

Champion platform adoption within pod and across teams

Provide technical guidance on platform usage and implementation

Identify opportunities for leveraging platform capabilities

Contribute to platform feature development and improvement

Help validate and refine platform patterns through direct implementation

Share knowledge and best practices across the MLE team

Implement robust CI/CD pipelines for ML models

Develop and maintain ML systems using platform capabilities

Ensure proper testing and validation of ML systems

Document technical decisions and implementation patterns

Partner with platform team to improve developer experience

Conduct thorough code reviews with focus on platform patterns

Contribute to technical design discussions and architecture reviews

Qualification

Machine Learning EngineeringPython DevelopmentCI/CD PipelinesTechnical StandardsAI/MLOpsML WorkflowsML MonitoringCollaborationTechnical MentorshipDocumentation

Required

Bachelor's degree

7+ years of experience in software engineering with a focus on ML and AI System Engineering

Strong technical background in ML engineering with demonstrated coding expertise

Track record of driving adoption of technical platforms and developer tools

Deep Python development expertise with focus on ML systems and AI/MLOps

Proven ability to establish and maintain technical standards

Strong understanding of ML workflows and operational requirements

Hands-on experience implementing and scaling model CI/CD pipelines

Experience with modern Python development practices including type checking, testing frameworks, and package management

Experience with modern Python development practices including type checking and testing

History of successful collaboration with product teams

Understanding of ML Development Lifecycle management and MLOps best practices

Understanding of ML Monitoring and observability

Preferred

Master's degree

Experience working as an embedded engineer in a cross-functional product team

Experience with LLMs and Infrastructure

Experience integrating with feature stores, feature caches, and model serving platforms

Deep understanding of ML/AI platform tooling and patterns

Experience with Distributed model training

Hands-on experience with Kubeflow, Argo, MLFlow or other ML/AI Training orchestrators

Hands-on experience and knowledge of ML/AI metadata tools and model registries

Deep hands-on experience with Terraform or other IaC tools

Hands-on experience building ML/AI solutions on GCP and Vertex AI

Company

HCA Healthcare

Glassdoor3.3

HCA Healthcare provides medical education and healthcare services in locally managed facilities. It is a sub-organization of North Florida Endoscopy Center.

Founded in 1968

Nashville, Tennessee, USA

10001+ employees