The organization needs to design, develop, test, deploy, monitor, maintain, and troubleshoot AI and ML solutions and frameworks in on-premise and Azure cloud environments to support AI-enabled solutions within clinical workflows, reporting, vendor applications, and internally developed applications.
Requirements
- Python
- API integration
- Azure
- LLMs
- RAG/TAG
- MCP
- SQL
Responsibilities
- Analyzes, designs, builds, modifies, implements, tests and debugs new or existing data streams, architectures, databases, and systems integration to automate business processes, as applicable.
- Designs and/or implements complex machine learning or predictive models and AI algorithms to integrate into workflow.
- Conducts data analysis and develops meaningful, accurate and dependable data reports, and dashboards using SQL and/or other toolset.
- Administrates, builds and supports analytics tools that utilize the data pipeline to provide actionable insights for the business.
- Designs and develops complex processes required to extract, transform, cleanse and load data into the enterprise data warehouse and data marts.
- Develops solutions to address data warehouse query performance and quality issues including data profiling, development, enhancement, and technical standards.
- Serves as a technical resource for modeling, simulation and analysis efforts.
Other
- Bachelor’s degree
- Minimum of five (5) year of related IT or Healthcare experience
- Epic Certification required within four months of hire to maintain employment.
- 40 hours per week
- Hybrid position
