Data Engineer (AI) - Cincinnati
Core
Build and maintain data pipelines for AI/ML teams, handling unstructured data (documents, images, web content) and training Large Language Models (LLMs) to support clinical research data analysis.
Role type
Data Engineer (AI/ML)
Builds
Data lakes, ETL pipelines, and software applications for data visualization and flow management.
Domain
Clinical Research / Biotechnology / AI & Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL development, Python, SQL, Snowflake, Azure, REST API, NLP, unstructured data processing, dimensional data modeling
Preferred skills
C#, Azure Data Fabric, Star Schema design
Technologies
Snowflake, Azure, Python, SQL Server, REST API
Responsibilities
Handle unstructured data extraction and transformation into data lakes; Train and manage Large Language Models (LLMs); Participate in NLP extraction of unstructured data into structured metadata; Ensure data flow compliance with US and EU AI Acts regarding security and privacy; Create software applications for data flow visualization; Participate in software validation and testing; Provide end-user support for application setup and maintenance.
Seniority
Mid-level, hands-on IC