- Experience in development of virtual agents (chatbots, voicebots) and natural language processing

- Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.

- Knowledge of one or more of the following technologies : Python, JavaScript or Node.js

- Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data

- Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management

- Strong written communication skills

- Ability to learn latest technologies

- Good problem-solving ability

Nice to have skills :

- Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plus

- Experience in Test Driven Development & Agile methodologies

- Knowledge of creating an end to end pipeline for development of AI based conversational applications

- Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns

- Ability to write regular expressions for data cleaning and preprocessing

- Understanding of API integrations, Single-Sign-on and token-based authentication

- Develop unit test cases as per project specific standards

- Experience with HTTP, Sockets, REST and other web services

- Perform keyword and topic extraction from chat logs

- Knowledge of training and tuning topic modelling algorithms like LDA and NMF

- Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric

- Knowledge of frameworks like nltk and spacy

- Ability to write regular expressions for data cleaning and preprocessing