HCA Healthcare · 7 hours ago
Lead Machine Learning Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
7+ years expHCA Healthcare is seeking a Lead Machine Learning Engineer to spearhead the technical implementation and adoption of AI Platform capabilities. This role involves mentoring other Machine Learning Engineers and driving platform adoption through hands-on coding and establishing best practices.
BiotechnologyHealthcareHospitalHealth CareMedicalPrimary 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
Required
Bachelor's degree – Required
7+ years of experience in software engineering with a focus on ML and AI System Engineering – Required
Strong technical background in ML engineering with demonstrated coding expertise –Required
Track record of driving adoption of technical platforms and developer tools –Required
Deep Python development expertise with focus on ML systems and AI/MLOps –Required
Proven ability to establish and maintain technical standards –Required
Strong understanding of ML workflows and operational requirements –Required
Hands-on experience implementing and scaling model CI/CD pipelines –Required
Experience with modern Python development practices including type checking, testing frameworks, and package management –Required
Experience with modern Python development practices including type checking and testing –Required
History of successful collaboration with product teams –Required
Understanding of ML Development Lifecycle management and MLOps best practices –Required
Understanding of ML Monitoring and observability –Required
Preferred
Master's degree – Preferred
Experience working as an embedded engineer in a cross-functional product team – Preferred
Experience with LLMs and Infrastructure –Preferred
Experience integrating with feature stores, feature caches, and model serving platforms –Preferred
Deep understanding of ML/AI platform tooling and patterns –Preferred
Experience with Distributed model training –Preferred
Hands-on experience with Kubeflow, Argo, MLFlow or other ML/AI Training orchestrators –Preferred
Hands-on experience and knowledge of ML/AI metadata tools and model registries –Preferred
Deep hands-on experience with Terraform or other IaC tools –Preferred
Hands-on experience building ML/AI solutions on GCP and Vertex AI –Preferred
Benefits
Base Salary + Benefits
Company
HCA Healthcare
HCA Healthcare provides medical education and healthcare services in locally managed facilities. It is a sub-organization of North Florida Endoscopy Center.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.51B2025-10-31Post Ipo Debt· $3.25B
2025-02-24Post Ipo Debt· $5.25B
2014-06-25Post Ipo Debt· $3.2M
Leadership Team
Nicholas Manning
Chief Executive Officer
Nick Lane
Regional Vice President Human Resources
Recent News
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