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Digital Conversational AI Engineer (AI Azure Cognitive Services/CLU)

Posted 7 days agoViewed

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Requirements:
  • Experience with Azure Cognitive Services - CLU (Conversational Language Understanding)
  • Experience continuously improving chatbot performance via analysis to improve experience and model accuracy
  • Prior experience with voice channel and transcription that is fed into a chatbot
Responsibilities:
  • 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 text-to-speech (TTS) services for voice-based interactions.
  • 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 to enhance chatbot capabilities.
  • Stays updated on NLP advancements, Azure AI updates, and emerging conversational AI trends.
  • Communicates chatbot performance insights
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📍 TX, NJ, NC, WV, AL, VA, MD, MO, DC, GA, or FL

🧭 Full-Time

💸 100000.0 - 120000.0 USD per year

🔍 Software Development

  • Experience building and fine-tuning Conversational Language Understanding (CLU) models (e.g., Azure Language Studio).
  • Proficiency in training intents, entities, and utterances for chatbot comprehension.
  • Knowledge of context handling to maintain conversation flow across multiple turns.
  • Familiarity with speech-to-text (STT) and text-to-speech (TTS) services for voice-based interactions.
  • Ability to analyze user interactions and optimize chatbot performance.
  • Skills in unit testing, regression testing, and A/B testing for bot validation.
  • Experience debugging misclassifications, intent overlaps, and response errors.
  • Proficiency in using analytics tools to track and refine chatbot interactions.
  • Understanding of AI ethics policies and compliance.
  • Strong collaboration skills, working with data scientists and software engineers.
  • Ability to stay updated on NLP advancements, Azure AI updates, and conversational AI trends.
  • Strong communication skills for sharing chatbot performance insights.
  • 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 text-to-speech (TTS) services for voice-based interactions.
  • 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 to enhance chatbot capabilities.
  • Stays updated on NLP advancements, Azure AI updates, and emerging conversational AI trends.
  • Communicates chatbot performance insights
  • Perform other duties as assigned

Artificial IntelligenceCloud ComputingMachine LearningAzureRegression testingCommunication SkillsCollaborationAgile methodologiesRESTful APIsData visualizationSoftware EngineeringData analyticsDebuggingA/B testing

Posted 6 days ago
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