Job
Description
Role Overview As a Conversational Analyst at Yubi, you will be responsible for designing and enhancing chat and voice user experiences. Your role will involve understanding user context, ensuring quality assurance, and creating impactful conversational solutions. You will play a crucial role in identifying problems, testing conversational flows, and ensuring a seamless user journey before deployment. Additionally, you will gain exposure to advanced technologies like Large Language Models (LLMs), Bhasa Infrastructure, Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) systems. Key Responsibilities - Understand user needs, identify issues in existing conversational flows, and propose enhancements for improved user experience. - Rigorously test chat and voice user experiences for functionality, usability, and contextual accuracy before deployment. - Collaborate with data scientists to analyze conversational data, identify patterns, and enhance conversational AI models. - Analyze and optimize conversation flows to ensure natural and seamless interactions for both chat and voice-based systems. - Utilize analytics tools to monitor and report on user behavior and feedback, providing actionable insights to enhance conversation designs. - Continuously develop expertise in advanced conversational AI technologies like LLMs, ASR, TTS, and Bhasa infrastructure. Qualifications Required - 2-3 years of experience in conversational design, chatbot/voice assistant testing, or related fields. - Strong understanding of chat and voice UX principles and best practices. - Hands-on experience in testing conversational flows and troubleshooting user interaction issues. - Analytical mindset with the ability to interpret user behavior and offer actionable insights. - Excellent communication and collaboration skills to work effectively with data scientists and technical teams. - Knowledge or exposure to conversational AI tools and platforms like Dialogflow, Rasa, or similar. Nice-to-Have Skills - Familiarity with Large Language Models (LLMs) and their applications. - Exposure to technologies such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). - Understanding of the Bhasa infrastructure or similar conversational AI ecosystems. - Basic programming or scripting knowledge for prototyping/testing purposes. Join Yubi and be part of a dynamic team that values innovation, data-driven design, and impactful growth. If you are passionate about creating intuitive conversational experiences and eager to work with cutting-edge technologies, we invite you to apply and be a part of our innovative journey.,
