About Us:
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational 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:
Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate—we lead. Headquartered in Boston, with 4000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:
● 17x Google Cloud Partner of the Year awards in the last 8 years
● 3x AWS AI/ML award wins
● 3x NVIDIA Partner of the Year titles
● 2x Snowflake Partner of the Year awards
● We have also garnered Top analyst recognitions from Gartner, ISG, and Everest Group.
● We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods,
Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
● We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Role: Conversation Bot Engineer
Location: Columbus, Ohio
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:
● Experience in development of virtual agents (chatbots, voicebots) and natural language processing
● Experience working with one or more AI/NLP platforms - Rasa (Must-Have), DialogFlow, Alexa,
Converse.ai, Amazon Lex, 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.js
● 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 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
● Hands on experience of using frameworks like nltk and spacy
● Ability to write regular expressions for data cleaning and preprocessing
What is in it for you:
● Be part of the fastest-growing AI-first digital transformation and engineering company in the world
● 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
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