Description :

Role Overview :

As a Data Scientist - Voice AI, you will be responsible for developing and deploying GenAI-powered STT and TTS models that drive voicebot automation within our collections platform. Youll collaborate with cross-functional teams to implement real-world voice solutions that improve customer interactions, reduce manual intervention, and scale conversational engagement.

What Youll Be Doing :

- Voicebot Model Deployment - Implement and fine-tune STT and TTS models for real-time customer conversations.

- Conversational AI Integration - Work with engineering teams to embed speech models into collection workflows and customer engagement platforms.

- Scalable AI Solutions - Develop production-ready ML pipelines for speech models, ensuring low latency and high accuracy.

- Performance Monitoring - Continuously track and optimize model performance (accuracy, latency, naturalness of voice).

- Workflow Automation - Enable automation of customer communication through seamless voicebot deployment.

- Cross-Team Collaboration - Partner with product managers, engineers, and operations teams to design applied AI solutions for debt lifecycle management.

What Were Looking For :

- 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 (PyTorch, TensorFlow, Keras).

- Good programming skills in Python and experience in API-based model integration.

- Practical experience deploying models in production environments (on cloud - AWS, GCP, Azure).

- Experience working on latency optimization, error reduction, and real-time deployment of speech models.

- Ability to collaborate across teams and deliver impactful, applied AI solutions.