Staff Applied AI/ML Scientist

About Judi Health Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. Join our mission to infusecutting-edgeAI/ML/GenAI into healthcare as a Staff Applied AI/ML Scientist.We are seeking Artificial Intelligence (AI) specialists to join our team and contribute to the development of Large Language Models (LLMs) aimed at advancing state-of-the-art for AI-based automation forHealthcare. As a Staff Applied Scientist, you will play a crucial role in developing, improving, and exploring the capabilities of multimodal LLMs to solve complex real-world problems geared towards building automation and Conversational AI products enabling increased productivity and magical experiences for our customers. The ideal candidate should be passionate about applying AI/ML science to difficult problems and develop scalable customized solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in Artificial Intelligence and Machine Learning science. ~ Develop tools and processes to create data pipelines for ML training and customization ~ Finetune LLMs for the healthcare domain on our data. ~ Help develop and productionize machine learning (ML) solutionsleveragingour customized models in the fields of Document understanding, Search andQnA, GenAI, Virtual Agents, etc. ~ Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. ~ Participate in code reviews, testing, and quality assurance processes. ~ Troubleshoot and resolve technical issues related to AI model, integration,deploymentand backend services. ~ Document and communicate research and development processes, and architectural decisions. ~ Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. ~ Bachelor's,Master'sdegree or higher in Computer Science, Machine Learning, or a related quantitative field; PhD preferred ~ Minimum 8 years of experience in industry with a strong focus on applied AI/ML research and development ~ Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. ~ Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc. ~ Strongproficiencyin Python and familiarity with ML libraries such asPyTorch ~ Experience with local training (pre-training / fine-tuning / RLHF / post-training) of open- weights autoregressive large language models like GLM, Qwen, Gemma, LLaMA , etc. ~ Experience with open-source LLM platforms and training stack (e.g., Experience with ML platforms such as AWSSagemaker, Azure ML, Databricks etc. ~ Passion for customer, innovation, product quality ~ Good written communication skills that enable collaboration in a remote environment. ~ Experience in healthcare or life sciences is a plus This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health.