AWS Healthcare Data Engineer
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AI Summary
Design and develop production-ready ML and LLM applications while building scalable pipelines on Databricks and AWS. Implement LLMOps, manage cluster orchestration, and develop NLP solutions for complex healthcare data.
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
AWS Healthcare Data Engineer
100% Remote Role
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.
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