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Conversation Bot Architect

2 months ago


Canada Quantiphi Full time
About Quantiphi

Quantiphi is a pioneering Applied AI and Big Data software and services company, driven by a deep desire to solve complex problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Company Highlights:

  • Delivered 2.5x growth YoY since its inception in 2013
  • Headquartered in Boston, with 4000+ Quantiphi professionals across the globe
  • Great Places to Work certified for 2 consecutive years- 2022, 2021
  • Recognized by Everest Group as Specialist Leader and Star Performer in Analytics and AI Services, 2022
  • Recognized as an AIFinTech100 Company, 2022 by InsurTech
  • Winner of Best in Business Award in Established Business category by INC., 2022
  • Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Healthcare by Frost & Sullivan, 2022
  • Recognized in Gartner Hype Cycle Reports for AI Strategy, 2022
  • Winner of 2021 Google Cloud Breakthrough Partner of the Year- North America
  • Winner of 2021 AWS Canada Rising Star of the Year
  • Recognized as Leader in IDC MarketScape: WorldWide AI IT Services, 2021
  • Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
  • Winner of NVIDIA's Americas Service Delivery Partner of the Year, 2021
Job Description

Key Responsibilities:

  • Design, develop, and maintain chatbot applications in the Global Markets environment
  • Collaborate with business partners to define requirements for system applications
  • Analyze data, develop chatbots, and automate data handling using data refinement tools
  • Develop and implement natural language processing solutions
  • Work closely with cross-functional teams to deliver high-quality chatbot applications

Requirements:

  • Proficiency in French
  • Experience in developing virtual agents (chatbots, voicebots) and natural language processing
  • Experience working with AI/NLP platforms - DialogFlow, Alexa, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Salesforce Einstein
  • Knowledge of programming languages - Python, JavaScript
  • 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, voice-based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home
  • 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 modeling algorithms like LDA and NMF
  • Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric
  • Hands-on experience of using frameworks like nltk and spacy
  • Ability to write regular expressions for data cleaning and preprocessing

What You'll Gain:

  • Be part of a pioneering AI-first digital transformation and engineering company
  • Be a leader of an energetic team of highly dynamic and talented individuals
  • Exposure to working with Fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud