Intern - Generative AI Developer (available now) at Cotiviti in Remote

Summary: Cotiviti is focused on advancing healthcare informatics through Generative AI and Artificial General Intelligence. The Generative AI Developer Intern will research and develop AI-related projects, assist in model development, and collaborate with various teams to enhance healthcare operations. Responsibilities: - Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI - Assists in developing and improving LLMs and ML tools used across the organization - Assists in establishing and maintaining an Artificial Intelligence Governance Program - Gain hands-on experience in generative AI model development, architecture design, and database management - Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management - Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects - Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends - Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions - Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs - Supports vendor evaluations and contributes to collaborations with vendors - Assists as a liaison between academic institutions, professional organizations, and research groups as needed - Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills - Complete all responsibilities and goals outlined in the internship program - Complete all special projects and other duties as assigned - Must be able to perform duties with or without reasonable accommodation Required Qualifications: - Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) - Demonstrated interest or experience in AI, healthcare technology, or informatics research - Strong foundational knowledge in generative AI model development, architectures, and vector databases - Hands-on experience with working with Machine Learning and Deep Learning models - Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions - Ability to work collaboratively and communicate effectively with cross-functional teams - Communicating with others to exchange information - Assessing the accuracy, neatness, and thoroughness of the work assigned - Remaining in a stationary position, often standing or sitting for prolonged periods - Repeating motions that may include the wrists, hands, and/or fingers - Must be able to provide a dedicated, secure work area - Must be able to provide high-speed internet access/connectivity and office setup and maintenance - No adverse environmental conditions are expected Preferred Qualifications: - Preference for a PhD in healthcare, technology, or a related field - Experience with LLM/RAG models and LLM fine-tuning - Experience with vector embeddings and databases Required Skills: Generative AI, Machine Learning, Deep Learning Important Skills: Cloud services (AWS/Azure), Data pipelines, Vector databases Nice-to-Have Skills: Collaboration, Communication