Qualifications

•  Bachelors Degree with relevant experience; Masters degree 
•  Exposure to real-world MLOps deploying models into production adding features to products
•  Knowledge of working in a cloud environment
•  5+ Years of Experience
•  Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot

Career Level - IC3

Responsibilities

•  Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and understanding of  LLMs, LLMOps and Generative AI - to be able to deliver per specifications; complete assignments without assitance by exercising judgment & appropriate actions
•  Knowledge of Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques 
•  Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up; Able to prepare data pipelines and feature engineering pipelines to build robust models
•  Combine ML Sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across Healthcare domain
•  Drives selction of methods and techniques to drive solutions
•  Demonstrate strong program management to be able to multi-task effectively
•  Be able to mentor & lead junior data scientists effectively
•  Contribute to peer reviews, team learning, meeting  product objectives and develop best practices for the organization
•  Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems