Senior conversation bot engineer

5 days ago

Delhi, 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 HTTP, 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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