Chatbot NPL Trainer

3 weeks ago


India Xsell Resources Full time

In this role, you will work closely with our developers and product teams to optimize the intents and entities of the model and improve understanding and intent classification. Your work will directly impact the quality of user interactions, ensuring that our chatbot is contextually aware.


Start Date: As soon as possible

Duration of the engagement : long-term

Preferred location: Off-Shore; working hours Eastern Standard Time preferred


You will make an impact by

  • Curating, organizing and annotating datasets for training and testing chatbot responses, ensuring that the chatbot can accurately recognize user intents, entities and contextual nuances
  • Identifying gaps or errors in the chatbot’s current patterns, providing insights to enhance the NLP model’s effectiveness
  • Evaluating the chatbot’s performance through testing and user feedback, making data-driven recommendations to refine its understanding and improve its response accuracy
  • Working closely with front-end engineers to provide feedback on model performance and assisting in iterating on the NLP model training pipeline
  • Performing quality checks and different types of testing (e.g. k-fold, blind etc.) to test the model’s intent classification accuracy


Required Qualifications

  • 1+ years of working with NLP models and/or chatbots
  • 1+ years of knowledge of AI/chatbot development landscape, tools and other frameworks
  • 1+ years of training or improving chatbot training data and using various methods of testing to evaluate intent classification accuracy
  • 1+ years of leveraging of conversational AI best practices
  • 1+ years of experience in CICD, Git, unit-testing and source code management
  • 1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements

Preferred Qualifications

  • Experience with IBM Watson Assistant
  • Experience with IBM Voice gateway and / or IBM Discovery is a plus
  • Knowledge of automated speech recognition, including SSML tagging for TTS


Education: Bachelor's degree or equivalent experience required


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