Machine Learning Engineer

4 days ago

Indore, Madhya Pradesh, India PreCallAI Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About Us

We are building next-generation real-time voice AI solutions that combine
Text-to-Speech (TTS)
,
Speech-to-Text (STT)
,
Large Language Models (LLMs)
, and
Speech-to-Speech (S2S)
intelligence. Our mission is to create highly interactive and human-like AI agents for global use cases in communication, customer experience, and automation.

We are looking for
self-motivated, innovative, and hands-on AI/ML Engineers
to join our growing team.

Key Responsibilities

  • Research, design, and implement
    TTS models
    (primary focus), with strong emphasis on
    naturalness, prosody, and real-time synthesis
    .
  • Work with
    STT pipelines
    to enable accurate, low-latency transcription in noisy and multi-lingual environments.
  • Integrate and fine-tune
    LLMs
    for conversational AI and dialogue management.
  • Build and optimize
    Speech-to-Speech (S2S) models
    by combining STT → LLM → TTS pipelines and/or direct end-to-end approaches.
  • Optimize models for
    latency, scalability, and deployment in production environments
    (cloud + edge).
  • Collaborate with product, research, and engineering teams to design APIs, SDKs, and scalable infrastructure.
  • Stay updated with cutting-edge research in speech AI and apply it to production-ready systems.

Requirements

  • Proven hands-on experience with TTS models
    (e.g., Tacotron, FastSpeech, VITS, F5-TTS, VALL-E, or other neural TTS systems).
  • Strong background in
    Deep Learning, NLP, and Speech Processing
    .
  • Experience with
    STT systems
    (e.g., Whisper, Deepgram, Wav2Vec2, Kaldi, or similar).
  • Familiarity with
    LLMs
    (OpenAI, LLaMA, Mistral, or custom fine-tuned models).
  • Solid programming skills in
    Python
    and frameworks like
    PyTorch / TensorFlow
    .
  • Experience deploying models in
    real-time production systems
    (e.g., Docker, Kubernetes, REST/gRPC APIs).
  • Strong problem-solving skills, self-motivation, and ability to work in a
    fast-paced, team-driven startup environment
    .

Nice-to-Have

  • Experience with
    speech enhancement, voice cloning, or emotion modeling
    .
  • Knowledge of
    multi-lingual or code-switching (Hinglish, etc.) speech systems
    .
  • Familiarity with
    GPU optimization, quantization, model distillation, or edge deployment
    .
  • Publications or contributions to open-source AI/ML projects.

What We Offer

  • Opportunity to work on
    cutting-edge speech AI
    with real-world impact.
  • Fast-growing startup environment with ownership and innovation freedom.
  • Competitive compensation, ESOPs, and performance-based rewards.
  • Collaborative, motivated, and research-driven team culture.

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