Applied Scientist 3

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams  to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.  Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers.  Develops models, prototypes, and experiments that pave the way for innovative products and services.  Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP),  Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR),  Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.

Career Level - IC3

•  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

Career Level - IC3

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