Job description

Conversational AI Engineer Hybrid Onsite - Vienna VA Phone + Skype Long Term JD: Hybrid in one of the following cities • Vienna, VA • Winchester, VA • Pensacola, FL • San Diego, CA Manager Notes / Summary: • Optimize AI-powered chatbots and voice assistants using Azure Cognitive Services CLU, focusing on post-transcription model tuning. • Design, train, and refine conversational models to improve intent classification, entity recognition, and context handling. • Collaborate with cross-functional teams to analyze data and improve chatbot accuracy and user experience. Hybrid or Remote: Hybrid must be able to report to one of the listed campus locations Setting: Large enterprise / financial services environment Team Focus: Conversational AI, Natural Language Understanding (NLU) Voice Pipeline Note: This role is responsible for post-transcription model tuning; voice-to-text is handled by a separate team Collaboration: Cross-functional team environment involving data scientists, engineers, and analysts Responsibilities: The Conversational AI Engineer will be responsible for: Designing and fine-tuning Conversational Language Understanding (CLU) models using Azure Language Studio Training intents, entities, and utterances to improve chatbot and voice assistant accuracy Implementing context handling for multi-turn conversations Analyzing logs and transcripts from voice interactions to continuously improve model accuracy Conducting unit, regression, and A/B testing to validate and enhance chatbot performance Qualifications: 3 5 years of experience in Natural Language Processing (NLP) or Conversational AI Bachelor's degree in Computer Science, Data Science, Engineering, or a related field Experience with Azure Cognitive Services CLU and Azure Language Studio Strong knowledge of NLU principles, including intent classification and entity extraction Proven ability to analyze interaction data to optimize conversational models Experience working with or around IVR and voice-interaction platforms Excellent collaboration and communication skills Detail-oriented and analytical approach to problem-solving Desired Skills: 5+ years of experience in AI/ML or voice assistant development (preferred) Master's degree in a related field Experience with Azure Bot Framework Familiarity with speech-to-text (STT) and text-to-speech (TTS) services Awareness of ethical AI practices and compliance standards Vivek Kumar Lead Technical Recruiter Contact No: +1 646 968 8493 vivek@stellentit.com

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