NLP Engineer

Key Responsibilities

Work closely with the Innovation & Data Science Team to develop a chatbot using Rasa.

Develop the NER and Speech to Text Recognition model, and integrate with the existing chatbot.

Leverage NLP techniques to provide the solutions for chatbot use cases.

Data preparation for model training and validation.

Qualification and Skills Required

B.Tech in Computer Science/Information Technology with demonstrated experience in NLP and Machine Learning.

2 to 3 years of work experience in Chatbot development using RASA.

Experience in designing and developing the chatbot from scratch

Expert in PostgreSQL, MongoDB and Excel

Expert Python, Flask, Numpy, Pandas, NLTK, Tensorflow, Keras, BERT.

Experience in Building Speech to Text model.

Understanding of Rest Apis Creation and Integration

Must have knowledge of git.

Comfortable on Ubuntu OS.

Exposure to Build Apis for Client/NLP model

Understanding of Text summarization and information extraction

Hands on in docker and CI-CD.

Experience of working with GPT-2 or GPT-3 or other transformer.