

Conversational AI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Conversational AI Engineer on a contract basis, requiring 10+ years of experience. Locations include Vienna, VA, Winchester, VA, Pensacola, FL, and San Diego, CA. Key skills include Azure Cognitive Services, NLP, and chatbot performance optimization.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 14, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Vienna, VA
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π§ - Skills detailed
#Azure #NLU (Natural Language Understanding) #AI (Artificial Intelligence) #NLP (Natural Language Processing)
Role description
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Role: Conversational AI Engineer
Location: Vienna, VA, Winchester VA, Pensacola FL, San Diego, CA- Hybrid
Hire Type: Contract
Experience Level - 10+ Years
Job Description
β’ Experience with Azure Cognitive Services - CLU (Conversational Language Understanding)
β’ Experience continuously improving chatbot performance via analysis to improve experience and model accuracy
β’ Prior experience with voice channel and transcription that is fed into a chatbot
β’ Collaborative and ability to work in a team environment
We are looking for a Conversational AI Engineer to design, build, and optimize AI-powered chatbots and voice assistants using Azure Bot Framework and Conversational Language Understanding (CLU). 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 (NLP), Azure Cognitive Services β CLU specifically, and tuning and training a model that is receiving requests that were initiated within a voice IVR style platform.
A Conversational AI Engineer will be responsible for designing, developing, and optimizing the models within Azure Cognitive Services. Their work focuses on natural language understanding (NLU) and system integration to ensure smooth and effective human-AI interactions.