Responsibilities
- Develop predictive models using supervised and unsupervised machine learning/deep learning
- Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection
- Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets
- Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development Teams
- A self-starter who can align the technology solution with a business goal
