Senior Engineer, Pipeline Engineering

3 weeks ago


New Canada NS Quantiphi Full time

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.
Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.

3x AWS AI/ML award wins
~Website or LinkedIn Page

Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Experience in development of virtual agents (chatbots, voicebots) and natural language processing
AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.
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
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
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
Ability to write regular expressions for data cleaning and preprocessing

Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.


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