Communicate and present complex analytics results and concepts to leadership and internal stakeholders.
Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).
Apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.
May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience.
Work with large scale computing frameworks, data analysis systems.
Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and st...
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