Applied Scientist

Role Overview: You will be part of the team at Oracle Health & AI that focuses on product development and strategy for Oracle Health, while contributing to the building of a platform for modernized, automated healthcare. This entrepreneurial environment promotes creativity and energy, aiming to establish a world-class engineering center with a focus on excellence. As a member of the Oracle Digital Assistant (ODA) team, you will work on creating skills and digital assistants using Conversational AI and Generative AI capabilities in a low-code paradigm. Your role will involve developing industry-leading solutions in the Healthcare domain, which will be productized as features in end products. Your contributions will be crucial in delivering new Generative AI-powered solutions for healthcare and enterprise customers. Key Responsibilities: - Utilize strong expertise in Python programming and Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) to deliver per specifications and complete assignments independently - Develop ML models using techniques like Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, and NLP - Design algorithms from scratch and use existing libraries for ML, Deep Learning, and Reinforcement Learning; Prepare data pipelines and feature engineering pipelines for building robust models - Apply ML Sciences depth, programming expertise, and mathematical understanding to deliver state-of-the-art ML solutions in the Healthcare domain - Drive the selection of methods and techniques for problem-solving, demonstrate strong program management skills, mentor junior data scientists, and contribute to peer reviews, team learning, and meeting product objectives - Have strong experience in LLM Systems, LLMOps, Prompt Engineering, and RAG systems Qualification Required: - Bachelors Degree with relevant experience; Masters degree - Exposure to real-world MLOps deploying models into production and adding features to products - Knowledge of working in a cloud environment - 3+ Years of Experience - Strong understanding of LLMs, GenAI, Prompt Engineering, and Copilot,