The Role
Design and implement AI/ML solutions for federal healthcare programs using healthcare datasets (Medicare/Medicaid/claims/clinical). Work with Python, SQL, cloud platforms, interoperability standards (FHIR/HL7), ensure HIPAA and federal compliance, and apply LLMs, RAG, and NLP techniques.
Summary Generated by Built In
Position: AI Engineer
Location: Remote/Hybrid (subject to contract requirements)
Clearance: Must be eligible to obtain and maintain a Public Trust
Criteria: Need US citizenship because of federal regulations and the sensitive nature of the work involved.
Key Qualifications:
- 5+ years of experience in AI/ML, Data Science, or Data Engineering
- 3+ years of experience working with healthcare data
- Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies
- Experience with healthcare datasets, including Medicare, Medicaid, claims, provider, beneficiary, or clinical data
- Familiarity with healthcare interoperability standards such as FHIR and HL7
- Experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of HIPAA, healthcare data governance, and federal compliance requirements
- Experience supporting federal healthcare programs or CMS initiatives is highly preferred
Preferred Skills:
- Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)
- Databricks, Snowflake, Spark/PySpark
- Healthcare analytics, fraud/waste/abuse detection, risk adjustment, and population health initiatives
If interested in applying for the position, please reach out to me at [email protected]
Skills Required
- US citizenship
- Eligible to obtain and maintain a Public Trust
- 5+ years of experience in AI/ML, Data Science, or Data Engineering
- 3+ years of experience working with healthcare data
- Strong experience with Python
- Strong experience with SQL
- Strong experience with Machine Learning
- Strong experience with NLP
- Strong experience with Generative AI technologies
- Experience with healthcare datasets (Medicare, Medicaid, claims, provider, beneficiary, or clinical data)
- Familiarity with healthcare interoperability standards such as FHIR and HL7
- Experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of HIPAA, healthcare data governance, and federal compliance requirements
- Experience supporting federal healthcare programs or CMS initiatives
- Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)
- Databricks
- Snowflake
- Spark/PySpark
- Healthcare analytics, fraud/waste/abuse detection, risk adjustment, and population health initiatives
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The Company
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