AI Scientist – Conversational

7 days ago

Chennai, Tamil Nadu, India Zudu AI Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About Zudu AI

Zudu AI is building the next generation of
human-like voice automation
that replaces traditional call centers. Our AI agents handle complex customer interactions, understand context, and respond naturally across multiple languages and accents. We work with enterprises and CPaaS providers to deliver scalable, intelligent voice solutions that continuously learn and improve.

Role Overview

We are seeking an
AI Scientist
to design, build, and optimize advanced
speech and conversational AI models
— spanning ASR, TTS, LLM fine-tuning, RAG pipelines, and emotion-driven voice synthesis. You'll work with large-scale data, production systems, and next-gen architectures to make our agents sound truly human.

Key Responsibilities

  • Research & Development
  • Develop and fine-tune speech recognition (ASR)
    ,
    text-to-speech (TTS)
    , and
    natural language understanding (NLU)
    models.
  • Build
    multi-turn conversational AI systems
    capable of contextual reasoning, grounding, and emotional intelligence.
  • Explore and implement
    retrieval-augmented generation (RAG)
    and
    memory-based dialogue systems
    for long-term contextuality.
  • Research
    prosody, emotion, and style transfer
    in speech synthesis for natural human-like delivery.
  • Evaluate and integrate open-source models (e.g., Whisper, Bark, FastSpeech, VITS, GPT-family models).
  • System & Data Integration
  • Work closely with platform engineers to deploy models in low-latency, production-grade
    environments.
  • Optimize
    inference performance
    on cloud and edge systems using quantization, distillation, and caching strategies.
  • Collaborate with the voice pipeline team to align model outputs with
    telephony and CPaaS audio protocols
    .
  • Experimentation & Evaluation
  • Design and conduct experiments to benchmark accuracy, naturalness, latency, and engagement
    .
  • Lead
    data annotation and synthetic voice data generation
    projects to improve training quality.
  • Publish findings internally (and externally when possible) to maintain Zudu AI's leadership in enterprise voice automation.

Preferred Qualifications

  • Master's or Ph.D. in
    Computer Science, AI, Speech Processing, or Computational Linguistics
    .
  • Strong background in
    deep learning
    ,
    transformer architectures
    , and
    reinforcement learning
    .
  • Hands-on experience with
    PyTorch
    ,
    TensorFlow
    , or
    JAX
    .
  • Expertise in one or more of the following areas:
  • Automatic Speech Recognition (ASR)
  • Text-to-Speech (TTS)
  • Natural Language Processing (NLP)
  • Multimodal or Emotion-aware AI
  • Understanding of
    LLM fine-tuning
    ,
    prompt engineering
    , and
    retrieval systems (RAG, FAISS, Milvus)
    .
  • Experience deploying models with
    Kubernetes
    ,
    TorchServe
    , or
    ONNX Runtime
    .
  • Familiarity with
    speech datasets
    ,
    phoneme-level modeling
    , and
    accent adaptation
    .

Nice-to-Have

  • Prior experience in
    telephony or conversational AI products
    .
  • Contributions to
    open-source speech or NLP projects
    .
  • Understanding of
    low-latency voice streaming pipelines
    (e.g., gRPC, WebRTC).
  • Exposure to
    emotion detection
    ,
    sentiment analysis
    , or
    paralinguistic research
    .

Soft Skills

  • Curiosity and scientific rigor.
  • Ability to translate research into
    deployable, scalable solutions
    .
  • Collaborative mindset — able to work with engineers, product leads, and linguists.
  • Excellent written and verbal communication.

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