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Rapid Eagle Inc
Posted 62 days agoVerified live 2d ago
AWS Healthcare Data Engineer
Brief overview
Remote
$55–$70/hrStated range
PythonMachine Learning EngineeringLLMOpsDatabricksAWSSQLNatural Language ProcessingCluster OrchestrationJob OrchestrationScalable Compute OrchestrationAutomated CI/CD PipelinesGitPHI / HIPAA-compliant data handlingHL7 ADT message formatHealthcare data domain
About the company
R
Rapid Eagle Incrapideagle.com
Rapid Eagle Inc. is one of the premier IT Staffing and Development company with its Head Office in Fremont, CA, USA.
Job description
Summary
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
Skills
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- MLflow
- Docker/Kubernetes
- FHIR
- RAG
- Vector Databases
Benefits
- 401(k) matching
- Dental insurance
- Health insurance
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