Judi Health is seeking to infuse cutting-edge AI/ML/GenAI into healthcare to advance state-of-the-art for AI-based automation for Healthcare
Requirements
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.
Strong proficiency in Python and familiarity with ML libraries such as PyTorch
Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, Mistral etc.
Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc)
Experience with ML platforms such as AWS Sagemaker, Azure ML, Databricks etc
Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking
Responsibilities
Investigate the latest LLM MLM models and evaluate and compare accuracy and efficiency for our in-domain use cases
Develop tools and processes to create data pipelines for ML training and customization
Finetune LLMs for the healthcare domain
Help develop and productionize machine learning (ML) solutions leveraging our customized models in the fields of Document understanding, Search and QnA, 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, deployment and backend services
Other
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field
Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development
Passion for customer, innovation, product quality
The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment
Good written communication skills that enable collaboration in a remote environment
