Job Description

Requirements

What You'll do:

  • Fine-tune and deploy LLMs, TTS, STT, and voice models for use in real-time conversations with millions of users.
  • Convert unstructured, messy real-world audio/text data into clean, high-quality datasets for training and evaluation.
  • Build inference pipelines optimized for low-latency, high-accuracy voice agents and multimodal interfaces.
  • Work closely with infra and product teams to ship production-grade GenAI models with observability, fallback, and monitoring.
  • Experiment with GANs, diffusion models, audio generation, and multimodal fusion to power next-gen AI agents.
  • Own the full model lifecycle — from research and training to deployment, testing, and iteration.


What we're Looking for:

  • 2-7 years of hands-on experience in AI / ML r...

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