Job Description
Note: The job is a remote job and is open to candidates in USA. Keebler Health is building the operating system for value-based care, aiming to empower healthcare organizations with data-driven insights. The role involves developing and fine-tuning large language models for healthcare applications, collaborating with healthcare professionals, and optimizing AI workflows. Responsibilities • Fine-tune and optimize large language models (LLMs) to address specific healthcare applications • Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios • Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets • Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making • Evaluate black-box models using precision, recall, and other performance metrics, ensuring robustness and reliability • Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements • Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance) • Integrate domain-specific knowledge of healthcare data, including FHIR and interoperability standards, into AI solutions • Develop and maintain scalable, production-ready AI pipelines using MLOps tools • Deploy and monitor AI models in production environments to ensure performance and compliance • Optimize infrastructure for efficient training, testing, and deployment of models • Stay at the forefront of advancements in AI, especially in healthcare applications • Identify and resolve performance bottlenecks in AI workflows • Explore emerging trends and technologies in LLMs and healthcare to continually improve solutions • Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into healthcare workflows • Communicate technical results and insights effectively to non-technical stakeholders Skills • Proven experience in LLM fine-tuning and advanced prompt engineering • Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch) • Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards) • Hands-on experience with retrieval-augmented generation (RAG) techniques • Expertise in evaluating AI models using performance metrics like precision, and recall • Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools • Understanding of healthcare data standards, including HL7 and HEDIS metrics • Strong problem-solving skills in integrating AI with complex healthcare datasets • Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Benefits • Competitive salary and benefits package. • Opportunity to work in a fast-paced, innovative environment. • Professional growth and development opportunities. • Collaborative and supportive team culture. • Chance to make a meaningful impact on the healthcare industry. Company Overview • Keebler Health is a developer of an AI-based risk adjustment tool for healthcare providers. It was founded in 2023, and is headquartered in Durham, North Carolina, USA, with a workforce of 11-50 employees. Its website is Apply tot his job