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Company ProfileQuantiphi is an award winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.We believe in Solving What MattersCompany Highlights:Quantiphi has seen 2.5x growth YoY since its inception in 2013.Headquartered in Boston, with 4000+ Quantiphi professionals across the globeRecognized by Everest Group as Specialist Leader and Start Performer in Analytics and AI Services.Winner of Industry Partner of the Year and AI/ML partner of the Year from AWS regional and global team for 2022.Quantiphi is recognized by Gartner as a leading Vendor for US Healthcare Payers 2022 and for Healthcare Data, Analytics and AI 2022, in the AI strategy category.Recognized under India's 40 Best Workplaces in Health and Wellness 2022.Quantiphi has been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.Job Description: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:Proficiency in FrenchExperience in development of virtual agents (chatbots, voicebots) and natural language processingExperience 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.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving abilityNice 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 plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessingWhat is in it for you:Be part of the fastest-growing AI-first digital transformation and engineering company in the worldBe a leader of an energetic team of highly dynamic and talented individualsExposure to working with fortune 500 companies and innovative market disruptorsExposure to the latest technologies related to artificial intelligence and machine learning, data and cloud