Source description
About the role
End Client - Banking
Job Description:
The RASA Chatbot Developer will be responsible for developing and deploying advanced AI chatbots and voice assistants using RASA, with a focus on scalable and efficient solutions for diverse business use cases. Key responsibilities include integrating NLP and NLG, managing deployments through CI/CD tools, and working on complex technical issues related to chatbot performance and scalability. Roles & Responsibilities:
Develop RASA chatbots and voice assistants across various platforms
Work on chatbot framework/architecture using open-source tools
Implement NLP/NLG for chatbots
Integrate chatbots with management dashboards and CRMs
Troubleshoot and resolve technical design issues
Design scalable AI and Client solutions
Ensure chatbot optimization for speed and scalability
Provide innovative solutions for improved user experience
Multilingual chatbot experience (preferred)
Human escalation integration
Qualifications & Skills
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B.Tech/B.E./M.Tech or related technical discipline
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Minimum 6-7 years of experience in RASA chatbot development
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RASA enterprise experience (mandatory)
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Hands-on experience with live agent integration
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Conversational AI, Client, and Deep Learning experience
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Proficient in Python, SQL/NoSQL databases, and Linux shell commands
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Experience integrating with platforms like Facebook Messenger, WhatsApp, and enterprise systems such as Salesforce or Zendesk
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Strong foundation in AI tools (TensorFlow, Spacy, NLU) and RESTful APIs
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Must-Have Skills:
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RASA enterprise chatbot development experience
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Strong Python programming skills
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Familiarity with chatbot frameworks and AI tools
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Understanding of HTTPS and enterprise security
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