Senior MLOps Engineer – Health AI Platform & LLM Ops

C the Signs; United States; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary and benefits

Flexible working arrangements

Continuous learning opportunities

Job summary

A healthcare technology company in the United States seeks a Senior MLOps Engineer to design and operate machine learning platforms for healthcare workflows. The ideal candidate will have strong Python skills and significant experience with ML systems and GCP services. They will lead efforts to implement observability, governance, and security measures that align with healthcare compliance, driving innovations that can directly impact patient outcomes. Flexibility in work arrangements is offered.

Qualifications

• 6+ years in software/platform engineering, including 4+ years operating ML systems.
• Strong engineering skills in Python with production-grade experience.
• Demonstrated hands-on experience with LLM systems in production.

Responsibilities

• Design and operate ML platforms that support end-to-end workflows.
• Productionize ML Models on GCP using containers and orchestration.
• Implement governance for healthcare compliance and security.

Skills

Machine Learning engineering

Python

CI/CD for ML

GCP services

Containerization

APIs/services

LLM systems

Tools

Docker

Kubernetes

Vertex AI

Job description

A healthcare technology company in the United States seeks a Senior MLOps Engineer to design and operate machine learning platforms for healthcare workflows. The ideal candidate will have strong Python skills and significant experience with ML systems and GCP services. They will lead efforts to implement observability, governance, and security measures that align with healthcare compliance, driving innovations that can directly impact patient outcomes. Flexibility in work arrangements is offered.