Data Scientist Voice AI

You will be joining Credgenics, India's leading SaaS-based debt collection platform, where innovation and agility are highly valued. By leveraging AI, ML, and advanced analytics, Credgenics helps financial institutions improve recovery rates, optimize collection spends, and enhance operational efficiency. In your role as a Data Scientist specializing in Voice AI, you will focus on developing and deploying GenAI-powered Speech-to-Text (STT) and Text-to-Speech (TTS) models to drive voicebot automation within the collections platform. Collaboration with cross-functional teams is essential to implement voice solutions that enhance customer interactions, reduce manual intervention, and scale conversational engagement. **Key Responsibilities:** - Implement and fine-tune STT and TTS models for real-time customer conversations. - Work with engineering teams to integrate speech models into collection workflows and customer engagement platforms. - Develop ML pipelines for speech models to ensure low latency and high accuracy. - Continuously monitor and optimize model performance in terms of accuracy, latency, and naturalness of voice. - Enable automation of customer communication through seamless voicebot deployment. - Collaborate with product managers, engineers, and operations teams to design AI solutions for debt lifecycle management. **Qualifications Required:** - 3-5 years of experience in Voice AI, Voicebot development, or Conversational AI, preferably in a product/startup environment. - Strong experience with speech recognition (STT/ASR) and speech synthesis (TTS) deployment. - Hands-on experience with ML/DL frameworks such as PyTorch, TensorFlow, and Keras. - Proficiency in Python programming and experience in API-based model integration. - Practical experience deploying models in production environments, preferably on cloud platforms like AWS, GCP, or Azure. - Experience in latency optimization, error reduction, and real-time deployment of speech models. - Ability to collaborate effectively across teams to deliver impactful, applied AI solutions.,