AI Conversational Designer

Qualifications

• This 12+ month contract position requires candidates to work a hybrid schedule (3 days onsite/2 days remote)
• The ideal candidate will have expertise in designing and developing intelligent interfaces for web, mobile, and voice channels
• ** We cannot work Corp-to-Corp for this position
• Candidates must be willing to sit on Apex Systems' W2 ***
• Integration experience with Apache Camel or similar tools
• Understanding of NLU concepts (must be able to track utterances)

Benefits

• This long-term contract opportunity offers a competitive hourly rate and the potential for extension up to 18-24 months

Responsibilities

• Understand the intent portfolio for NLU across domains (e.g., technology, human resources) and how it maps to conversation design for various 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 the 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 performance
• Collaborate with data scientists, product owners, UX researchers, and engineers to build out the 'brain' of the virtual assistant

Full Description

Apex Systems is seeking an experienced professional to lead the development of its conversational AI solutions. This 12+ month contract position requires candidates to work a hybrid schedule (3 days onsite/2 days remote). The ideal candidate will have expertise in designing and developing intelligent interfaces for web, mobile, and voice channels.

• ** We cannot work Corp-to-Corp for this position. Candidates must be willing to sit on Apex Systems' W2 ***

This long-term contract opportunity offers a competitive hourly rate and the potential for extension up to 18-24 months.

Key Responsibilities:

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

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

Required Skills:

• Scripting experience - Groovy (preferred), Python, Java or JavaScript

• Chat Bot experience - AMELIA (preferred) but open to other chat bot frameworks like Azure AI/MS Bot Framework

• Experience with queries - AMELIA (preferred) or SQL

• Integration experience with Apache Camel or similar tools

• Understanding of NLU concepts (must be able to track utterances)