Wat you'll do:

• 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 assistance 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 selection 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 research record preferred demonstrated, through publications
• Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable
• Identify and investigate new technologies, prototype and test solutions for product features and design/validate patterns that deliver a compelling experience
• Take responsibility for technical problem solving to meet product objectives and develop best practices
• Ability to resolve complex business problems in creative and effective ways
• Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems

What makes you a great fit:

• Ph.D. Degree preferred.
• Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering 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