*************************Walk - In Interview******************************

Only Male candidate

Python Audio LLM Foundation Model Developer

Job Summary:

We are looking for a Python Audio LLM Foundation Model Developer with hands-on experience in Speech AI, Audio AI, and Foundation Models. The ideal candidate should have robust Python development skills and practical exposure to ASR/STT models, transformer architectures, and deploying AI solutions in production.

Key Responsibilities
- Design, develop, and deploy AI applications using Python.
- Build and optimize Automatic Speech Recognition (ASR) and Speech-to-Text (STT) pipelines.
- Work with audio foundation models such as Whisper, Faster-Whisper, wav2vec 2.0, NeMo, Kaldi, or Vosk.
- Fine-tune transformer-based models using LoRA and QLoRA.




- Develop real-time or streaming speech processing pipelines with low latency.
- Implement speaker diarization, Voice Activity Detection (VAD), speaker recognition, and multilingual speech processing.
- Integrate LLMs with speech AI applications using embeddings and RAG.
- Optimize models for GPU deployment using CUDA, quantization, and inference optimization.
- Build REST APIs using FastAPI and deploy applications using Docker, Kubernetes, and cloud platforms.
- Collaborate with AI researchers and engineering teams for production deployment.

📌 Walk-in || Python Audio LLM Foundation Model Developer (Bengaluru)
🏢 Sunovaa Tech
📍 Bengaluru