Conversational AI Developer

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