nlp analyst

1 day ago

Bengaluru, Karnataka, India NHANCENOW Full time ₹ 1,04,000 - ₹ 1,30,878 per year
NLP analyst
Responsibilities:
  • Build content for chatbot and define an efficient process for identifying targeted follow-up questions based on keywords.
  • Research and analyze the scope of intent within the linguistic and technical dimensions of chatbot's capabilities.
  • Work with developers, product, and engineering teams to maximize conversions while ensuring a great user experience.
  • Understand how Natural Language Processing and Machine Learning are integral to chatbot development.
  • Analyze chat history and optimize intents.
  • Experiment with different content formats and styles to deliver unique user experiences.
  • Drive continual content refinement and improvement through content experiments, user feedback, and analysis of performance metrics.
  • Create conversational flows to suit the requirements.
  • Train the chatbot accordingly to understand the linguistic variations of diverse types of users.
Experience required:
  • 2+ years of hands on experience in Machine Learning OR Artificial intelligence related to Natural language processing and or Computational linguistics
  • In Depth knowledge & usage of Dialog Flow. Certifications or expertise on other platforms like Rasa NLU, IBM Watson, Amazon Lex & Alexa, Nuance Nina, , etc. is an added advantage
  • Experience in either Java or C/C++ and any one of scripting languages like Perl/Python/ JavaScript
  • Good knowledge on content categorization algorithms (Preferred)
  • Research, design and development of natural language processing algorithms (Preferred)
Must have skills:
  • Application of machine learning algorithms and techniques for natural language processing.
  • Experience with supervised and unsupervised machine learning techniques.
  • Sound knowledge in Syntax and Semantic processing using statistical methodologies and/or Chatscript
  • Experience in applied linguistics & NLP
  • Expert in English language (vocabulary & sentence formation)
Qualificatiom:
  • Graduate in Engineering OR Master's in Computer Applications
  • Having Machine Learning or AI certifications would be an added advantage

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