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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