Data Scientist (Voice)

About the Role :

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 center 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 :

Deep Learning & NLP Architecture :

Modular System Development :

Engineering & Deployment :

Why join us?

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