Intelligent Voice Systems Developer

2 weeks ago

Pushkar, Rajasthan, India beBeeAIEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Transform your career with a challenging role that will test your skills in designing and optimizing speech recognition, text-to-speech, and wake-word detection pipelines. The ideal candidate should have at least 5 years of experience in applied AI and at least 3 years focused on speech technologies.Key Responsibilities
  • Speech-to-Text (STT) Systems: Develop production-grade STT systems using Whisper or Vosk for low-latency recognition.
  • Text-to-Speech (TTS) Systems: Implement TTS systems using Coqui, Piper, or VITS and integrate multi-voice support and style variations.
  • Wake-Word Detection: Prototype wake-word detection using Porcupine or Snowboy and enhance performance by integrating noise suppression, VAD, AGC, and audio normalization.
  • Model Optimization: Apply model optimization techniques like quantization, ONNX, CTranslate2, or GGUF/ggml for offline/CPU-first inference.
  • Caching and Streaming: Design caching, streaming, and batching strategies to meet real-time performance targets under 2 seconds response time.
  • API Exposures: Collaborate with backend engineers to expose APIs for integration into apps.
  • Performance Monitoring: Monitor performance using observability dashboards like Prometheus/Grafana or OpenTelemetry.
Requirements
  • Achieved Experience: At least 5 years of professional experience in applied AI, specifically in speech technologies.
  • Production-Grade STT/TTS Expertise: Proven expertise in building production-grade STT/TTS systems.
  • Audio/DSP Knowledge: Strong knowledge of audio/DSP fundamentals including resampling, denoising, VAD, and loudness normalization.
  • Python Proficiency: Proficiency in Python, particularly with PyTorch, and experience with FastAPI and Docker for model serving.
  • Familiarity with Wake-Word Frameworks: Familiarity with wake-word frameworks like Porcupine or Snowboy and streaming audio integration.

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