Machine Learning Engineering Intern developing innovative AI solutions for contact centers at Cresta. Collaborating with top researchers and engineers in AI to unlock customer experience potential.
About the role
- Senior ML Engineer responsible for building AI agents and ML solutions at Trillium Health Partners. Collaborating with teams to integrate AI in healthcare operations and enhance patient care.
Responsibilities
- Architect and build intelligent agents using solutions such as Microsoft Copilot Studio, Azure AI Foundry, Claude Skills, Google GEMINI to automate tasks, workflows, and roles.
- Collaborate with internal teams including Information Systems and Business Intelligence to develop ML solutions, using best practices for engineering, designing future systems for Trillium HealthWorks.
- Embed directly within clinical and operational teams to identify automation opportunities, integrate AI solutions into their specific workflows, and streamline day-to-day processes.
- Manage the end-to-end lifecycle of AI solutions from design and development, to implementation and sustainability, using a product design mindset.
- Implement complex data-centric solutions, including complex and large data set verification, transformation and feature generation, to ensure continuous, high-quality datasets.
- Lead AI integration and implementation efforts within the hospital, and with partners.
- Develop API endpoints and implement Model Context Protocols (MCPs) for exchanging healthcare information and connecting AI agents to external tools and data sources.
- Integrate solutions with appropriate tools and processes as part of automated/self-serve application, platform or infrastructure releases.
- Connect AI agents to core hospital systems (EHR, HRIS, ERP) via APIs to allow agents to perform actions, not just retrieve information.
- Design and refine system prompts to ensure consistent, safe, and empathetic AI responses suitable for a healthcare environment.
- Monitor and troubleshoot production issues to maintain high availability and reliability.
Requirements
- BS or MS in computer science, engineering or a similar discipline
- Proficiency in OOD and a strong coder with extensive programming experience
- Proficiency in Python
- Extensive experience in large platform design and development
- Experience working with copilot studio, MS AI foundry, or related software
- Experience in building SaaS AI products in the public cloud
- Proficiency in SQL
- Familiarity with tools including Claude Code and Langgraph
- Familiarity with the Model Context Protocol (MCP), LLM tool/function calling, and building/integrating robust APIs
- Strong communication and collaboration skills to work effectively with cross-functional teams and customers
- Ability to troubleshoot complex issues and identify root causes
- Master's degree in Computer Science or a related technical field
- Extensive experience in EMR integration and healthcare systems development
- Solid knowledge of healthcare data format and interoperability protocols
- Ability to work under pressure in a fast-paced environment.
- Product experience in healthcare
Benefits
- Health insurance
- Paid time off
- Professional development
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