Intent Recognition Specialist

Responsibilities

• Responsible for building and maintaining machine learning models to identify end user intent for a multi-channel Virtual Assistant

• Understand the intent portfolio for NLU across domains (e.g., technology, human resources) and how it maps to conversation design for web, mobile, and voice channels

• Identify and build appropriate datasets to train and test machine learning models for intent classification and speech recognition

• Develop tools and telemetry that can measure/monitor accuracy and performance and update the models accordingly throughout development lifecycle

• Develop disambiguating and error handling strategies as the virtual assistant scales

• Monitor conversations in the application to identify underperforming content and develop solutions to improve the performance

• Collaborate with data scientists, product owners, UX researchers, and engineers to build out the "brain" of the virtual assistant

Requirements

• Experience with conversational interfaces and natural language processing

• Experience training machine learning algorithms for data classification and/or speech recognition

• Experience improving intent recognition of a data classification model

• Experience with Python

• Unique skillset in computational linguistics and technical experience

• Familiarity with LLMs

• Familiarity with using version control technologies such as Git, SVN, or JIRA

• Experience in DevOps and Agile methodology

• Strong analytical and troubleshooting skills

• Desired skills:

• Experience with Generative AI