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    Senior Chatbot Developer - Bengaluru, India - Quantiphi

    Quantiphi
    Quantiphi Bengaluru, India

    Found in: Appcast Linkedin IN C2 - 16 hours ago

    Default job background
    Technology / Internet
    Description

    Role: Conversation Bot Engineer

    Work location: Mumbai/Bangalore/Trivandrum

    Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.

    Required Skills:

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

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

    ● Knowledge of one or more of the following technologies: Python, JavaScript or

    ● 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

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