Data Scientist - NLP

Key Responsibilities

1) Data Science :

a. Build ML/AI models leveraging a strong understanding of Machine Learning principles including standard algorithms for Regression and Classification, Deep Learning constructs (RNN, CNN, RBMs, Auto Encoders, GANs) and AI systems such as Voice to Text, NLP/NLU and Recommender systems

b. Design and build Voice based analytic systems to provide conversational features and also use such systems for data capture.

c. Use voice analytics to capture buying intent, additional buying considerations and voice assisted voice search systems

d. Able to understand the determinants of success for a Machine Learning system, Model accuracy and efficiency, Data requirements, Training and Test constructs, CI/CD for ML systems

e. Able to build standard ML systems using available ML components provided by AWS, Azure and GCP.