Staff ML Engineer: Platform & MLOps Leader (Remote)

HCA Healthcare; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

HCA Healthcare is seeking a Staff Machine Learning Engineer to lead the implementation and adoption of AI Platform capabilities within an embedded product team. You will act as a technical leader and mentor for other ML engineers, while actively contributing to AI/MLOps development through hands-on coding and by standardizing implementation patterns.

You will collaborate with platform and product managers to define standards, drive platform adoption, and implement robust ML pipelines and

Qualifications

• Bachelor's degree required in a related field.
• Master's degree preferred.
• 7+ years in software engineering with a focus on ML/AI systems.
• Embedded engineer experience in a cross-functional product team preferred.

Responsibilities

• Partner with platform and product managers to identify foundational platform capabilities.
• Define technical standards and patterns across platforms and product teams.
• Collaborate on technical and architectural direction for platform components.
• Mentor embedded MLEs in engineering best practices and platform tooling.
• Implement and scale CI/CD pipelines for ML models.
• Develop ML systems using platform capabilities and drive adoption.

Skills

ML engineering

Python for ML

Platform adoption

CI/CD for ML

ML workflows

ML lifecycle & MLOps

Python practices

Collaboration with product teams

Distributed training

Orchestrators (Kubeflow/Argo/MLFlow)

Model registries

IaC (Terraform)

GCP Vertex AI

Feature stores & serving

Platform tooling

Education

Bachelor's degree

Master's degree

Tools

Kubeflow

Argo

MLFlow

Terraform

Job description

HCA Healthcare is seeking a Staff Machine Learning Engineer to lead the implementation and adoption of AI Platform capabilities within an embedded product team. You will act as a technical leader and mentor for other ML engineers, while actively contributing to AI/MLOps development through hands-on coding and by standardizing implementation patterns.

You will collaborate with platform and product managers to define standards, drive platform adoption, and implement robust ML pipelines and