AI / Machine Learning Summer Intern (Graduate level)
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About the Role
About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
- Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
- Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
- Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Position Summary:
Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineering Intern. We are looking for a graduate students with artificial intelligence / machine learning specialization to join us in investigating AI capabilities and tools to improve productivity and create magical experiences in our products and services.
In this role, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of the healthcare tech industry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to leadership.
Responsibilities:
- Investigate and experiment with tools and methodologies leveraging Artificial Intelligence (AI) and machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
- Work with senior technical staff to develop improvements to models to generate new content using machine learning models in a secure, well-tested, and reasonably performant way.
- Apply tools and methodologies for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development
- Ensure the integrity and robustness of ML solutions by executing automated testing and validation processes established within the team.
- Document and communicate development processes and implementation details with peers and supervisors.
- Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.
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