Team A-TEK is seeking a Machine Learning / AI Engineer to design, develop, and maintain AI/ML models that enhance the processing and interoperability of federal electronic health records (EHR) data, enabling secure, efficient, and compliant data exchange across federal health systems.
Requirements
- 3+ years of hands-on ML/AI model development experience
- Proficiency with AWS SageMaker, MLflow, and NLP tools
- Experience with FHIR, OMOP, and/or federal EHR data
- Knowledge of HIPAA, FedRAMP High, and FISMA compliance requirements
- Expertise in building data ingestion pipelines for large-scale health record systems
- Certifications in AI/ML, cloud technologies, or healthcare informatics
Responsibilities
- Build, train, and deploy ML models for FHIR-compliant schema mapping and patient record linkage
- Implement AI-driven anomaly detection
- Create predictive models for public health use cases
- Apply FHIR, OMOP, and HL7 standards to integrate federal EHR systems
- Support tokenization and privacy-preserving record linkage
- Enable secure interoperability across platforms
- Optimize model performance, accuracy, and interpretability
Other
- The ability to obtain and retain a Public Trust Level 4 clearance is required for consideration.
- Occasional travel to McLean, VA.
- Collaborate with federal OCIO, data governance, and health informatics teams
