AI Engineer

LTD Global
Columbia, United States of America
24 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Columbia, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Health Informatics
Clinical Data Repository
Information Engineering
Interoperability
Python
Machine Learning
Natural Language Processing
SQL Databases
Fast Healthcare Interoperability Resources
Large Language Models
Snowflake
Prompt Engineering
Spark
Generative AI
PySpark
Health Level Seven International
Databricks

Requirements

Do you have experience in SQL?, * 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

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