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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
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