Architect, Applied Scientist (Reasoning Platform, AI Lead)

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.

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