Senior conversation bot engineer

2 weeks ago


Bangalore, India Quantiphi Full time

Essential Skills: • 3+ years of relevant experience in chatbots and natural language processing • Experience in working with any AI/NLP platform (Dialog Flow/ Alexa/ Converse.ai/ Amazon Lex etc.) for building chatbots Experience with any one of the technologies (Java Script, Node.js or Python) • Good understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric • Ability to use pre-trained models and fine-tune them if required • Experience with Sockets, REST and other web services • Perform keyword and topic extraction from chat logs • Solid knowledge of training and tuning topic modelling algorithms like LDA and NMF • Experience in training chatbots by analyzing historical chat conversations or large amounts of user-generated content and process data • Hands-on experience using frameworks like nltk and spacy • Ability to write regular expressions for data cleaning and preprocessing • Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management • Strong written communication skills • Ability to learn the 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 are a plus • Experience in Test Driven Development & Agile methodologies • Experience with configuring, supporting and integrating various software systems, APIs, etc. • Should have knowledge of creating an end-to-end pipeline for the 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 • Self-starter with a drive to technically mentor your cohort of machine learning engineers • Experience working with scalable, high-performance systems



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