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Data Scientist – Voice AI

5 years

0 Lacs

noida uttar pradesh india

Posted:3 weeks ago| Platform: Linkedin logo

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Skills Required

data ai saas automate ml analytics agility consistency drive model engineering engagement latency workflow automation design development recognition synthesis pytorch tensorflow programming api aws gcp optimization

Work Mode

On-site

Job Type

Full Time

Job Description

About Credgenics

Credgenics is India's leading SaaS-based debt collection platform, helping banks, NBFCs, FinTechs, and ARCs digitize and automate their collection processes. By leveraging AI, ML, and advanced analytics, we enable financial institutions to improve recovery rates, optimize collection spends, and enhance operational efficiency.

Voice AI, GenAI, and conversational automation


Role Overview

Data Scientist – Voice AI


What You’ll 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 We’re 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

    .

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Credgenics

Financial Services

Noida Uttar Pradesh

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