AWS Healthcare Data Engineer

Rapid Eagle Inc is a company focused on healthcare technology, and they are seeking an AWS Healthcare Data Engineer. The role involves designing and developing machine learning applications, building scalable pipelines, and collaborating with various teams to optimize healthcare data processing.

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

Requirements:

• Python
• Machine Learning Engineering (MLE)
• LLMOps
• Databricks
• AWS
• SQL
• Natural Language Processing (NLP)
• Cluster & Job Orchestration
• Scalable Compute Orchestration
• Automated CI/CD Pipelines
• Git
• PHI / HIPAA-compliant data handling practices
• HL7 ADT message format knowledge
• Recent experience in Healthcare data domain
• MLflow
• Docker/Kubernetes
• FHIR
• RAG
• Vector Databases