SRM Digital LLC · 17 hours ago
Senior Data Engineer – AI / ML (Databricks & Azure)
United States
Contract
Remote
Senior LevelSRM Digital LLC is looking for a hands-on senior engineer to support a clinical analytics and health economics team. The role focuses on integrating AI and LLM capabilities into an existing Databricks on Azure environment while working closely with clinical stakeholders.
Staffing & Recruiting
Hiring Manager
Rishabh Singh
Responsibilities
Work directly within Databricks on Azure to develop and maintain data pipelines
Integrate LLM and RAG based workflows into Databricks without moving sensitive clinical data
Build secure APIs and orchestration layers connecting AI components to analytics workflows
Support fine tuning and deployment of enterprise safe LLMs behind the firewall
Implement governance, logging, explainability, and audit support for AI workflows
Partner closely with clinical analytics and health economics teams to operationalize models
Navigate enterprise security, privacy, and compliance reviews and approvals
Hand off clean, well-documented solutions to internal teams for ongoing use
Qualification
Required
Strong hands-on experience with Databricks in production environments
Deep familiarity with Azure services supporting analytics and AI
Experience integrating LLMs and RAG pipelines in enterprise, security restricted environments
Solid Python experience for data engineering and AI workflows
Experience working with large scale clinical or healthcare datasets (EMR preferred)
Comfort building APIs and integration layers
Experience operating within strict security, privacy, and compliance guardrails
Preferred
Experience in healthcare analytics, population health, or clinical data
Familiarity with Markov models or disease progression analytics
Prior work supporting value-based care or health economics teams
Exposure to low code or copilot style AI tooling
Company
SRM Digital LLC
We at SRM Digital are focused towards connecting businesses with top talent across various industries.
Founded in 2024
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase