Voice AI Engineer

4 weeks ago

Hyderabad, India Tanla Platforms Limited Full time

We are seeking a highly experienced Voice AI /ML Engineer to lead the design and deployment of real-time voice intelligence systems. This role focuses on ASR, TTS, speaker diarization, wake word detection, and building production-grade modular audio processing pipelines to power next-generation contact centre solutions, intelligent voice agents, and telecom-grade audio systems.


You will work at the intersection of deep learning, streaming infrastructure, and speech/NLP technology, creating scalable, low-latency systems across diverse audio formats and real-world applications.


Key Responsibilities:


Voice & Audio Intelligence:

  • Build, fine-tune, and deploy ASR models (e.G., Whisper, wav2vec2.0, Conformer) for real-time transcription.
  • Develop and finetune high-quality TTS systems using VITS, Tacotron, FastSpeech for lifelike voice generation and cloning.
  • Implement speaker diarization for segmenting and identifying speakers in multi-party conversations using embeddings (x-vectors/d-vectors) and clustering (AHC, VBx, spectral clustering).
  • Design robust wake word detection models with ultra-low latency and high accuracy in noisy conditions.

Real-Time Audio Streaming & Voice Agent Infrastructure:

  • Architect bi-directional real-time audio streaming pipelines using WebSocket, gRPC, Twilio Media Streams, or WebRTC.
  • Integrate voice AI models into live voice agent solutions, IVR automation, and AI contact center platforms.
  • Optimize for latency, concurrency, and continuous audio streaming with context buffering and voice activity detection (VAD).
  • Build scalable microservices to process, decode, encode, and stream audio across common codecs (e.G., PCM, Opus, μ-law, AAC, MP3) and containers (e.G., WAV, MP4). Deep Learning & NLP Architecture:
  • Utilize transformers, encoder-decoder models, GANs, VAEs, and diffusion models, for speech and language tasks.
  • Implement end-to-end pipelines including text normalization, G2P mapping, NLP intent extraction, and emotion/prosody control.
  • Fine-tune pre-trained language models for integration with voice-based user interfaces.

Modular System Development:

  • Build reusable, plug-and-play modules for ASR, TTS, diarization, codecs, streaming inference, and data augmentation.
  • Design APIs and interfaces for orchestrating voice tasks across multi-stage pipelines with format conversions and buffering.
  • Develop performance benchmarks and optimize for CPU/GPU, memory footprint, and real-time constraints.

Engineering & Deployment:

  • Writing robust, modular, and efficient Python code
  • Experience with Docker, Kubernetes, cloud deployment (AWS, Azure, GCP)
  • Optimize models for real-time inference using ONNX, TorchScript, and CUDA, including quantization, context-aware inference, model caching. On device voice model deployment.


Why join us?

  • Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry.
  • Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development.
  • Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated.


Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.

www.Tanla.Com

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