AWS Healthcare Data Engineer

Implement LLMOps for deployment, monitoring, evaluation, and model lifecycle management. Design and develop production-ready ML and LLM applications using Python.

Benefits:

• 401(k) matching
• Dental insurance
• Health insurance

AWS Healthcare Data Engineer
100% Remote Role



KEY RESPONSIBILITIES

• Design and develop production-ready ML and LLM applications using Python.
• Build scalable ML pipelines on Databricks and AWS.
• Implement LLMOps for deployment, monitoring, evaluation, and model lifecycle management.
• Develop cluster and job orchestration for large-scale processing.
• Build automated CI/CD pipelines for ML workloads.
• Develop NLP solutions for structured and unstructured healthcare data.
• Optimize scalable compute orchestration to eliminate processing bottlenecks.
• Collaborate with architects, data engineers, and QA teams.

REQUIRED SKILLS & EXPERIENCE

• Python
• Machine Learning Engineering (MLE)
• LLMOps
• Databricks
• AWS
• SQL
• Natural Language Processing (NLP)
• Cluster & Job Orchestration
• Scalable Compute Orchestration
• Automated CI/CD Pipelines
• Git

MUST HAVE

• PHI / HIPAA-compliant data handling practices
• HL7 ADT message format knowledge
• Recent experience in Healthcare data domain

NICE TO HAVE

• MLflow
• Docker/Kubernetes
• FHIR
• RAG

Vector Databases 

This is a remote position.