Conversational AI Engineer

  • Posted 4 hours ago | Updated moments ago

Overview

Remote
Hybrid
BASED ON EXPERIENCE
Full Time
Contract - W2
Contract - Independent
Contract - 6+ mo(s)

Skills

BOT FRAMEWORK
CONVERSATIONAL LANGUAGE UNDERSTANDING
CLU
NLU
NATURAL LANGUAGE PROCESSING
AZURE COGNITIVE SERVICES
AI ENGINEER
CHATBOT
AZURE LANGUAGE STUDIO
A/B TESTING
AZURE AI
ARTIFICIAL INTELLIGENCE

Job Details

Job Role: Conversational AI Engineer
Duration: 12 Months:
Location: Remote
Exp. Level: 10 Years

We are looking for a Conversational AI Engineer to design, build, and optimize AI-powered chatbots and voice assistants using Azure Bot Framework & Conversational Language Understanding. This role will focus on training, tuning, and analyzing AI models for voice-based interactions, ensuring seamless and intelligent user experiences. The primary focus of this role will be post-transcription. The voice to text side will be handled by another team.

The ideal candidate has expertise in Natural Language Processing, Azure Cognitive Services specifically, and tuning and training a model that is receiving requests that were initiated within a voice IVR style platform.

Job Description

A Conversational AI Engineer will be responsible for designing, developing, and optimizing the models within Azure Cognitive Services. Their work focuses on NLU and system integration to ensure smooth and effective human-AI interactions.

  • Experience with Azure Cognitive Services - CLU (Conversational Language Understanding)
  • Experience continuously improving chatbot performance via analysis timprove experience and model accuracy
  • Prior experience with voice channel and transcription that is fed into a chatbot
  • Collaborative and ability to work in a team environment

Key Responsibilities

Conversational Model Development
  • Builds and fine-tunes Conversational Language Understanding (CLU) models in platforms like Azure Language Studio.
  • Trains intents, entities, and utterances for better chatbot comprehension.
  • Implements context handling to maintain conversation flow across multiple turns.
  • Integrates speech-to-text (STT) and t ext-to-speech (TTS) services for voice-based interactions.
  • Only responsible for the post-transcription side of tuning, experience on the voice side would be helpful.
  • Continuously improves chatbot performance by analyzing user interactions and model accuracy.
  • Conducts unit testing, regression testing, and A/B testing to validate bot performance.
  • Identifies and fixes misclassifications, intent overlaps, and response errors.
  • Uses analytics tools to track user behavior and refine interactions.
  • Ensures compliance with AI ethics policies.
  • Works with data scientists and software engineers tenhance chatbot capabilities.
  • Stays updated on NLP advancements, Azure AI updates, and emerging conversational AI trends.
  • Communicates chatbot performance insights
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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