
AI/ML Engineer – Speech
4 weeks ago
We are building cutting-edge AI-powered
real-time Voice & TTS systems
for multilingual Indian users. Our mission is to develop a
highly efficient, low-latency, human-like TTS engine
capable of handling
all major Indian languages (Hindi, Tamil, Telugu, Bengali, Marathi, Punjabi, Kannada, Gujarati, etc.)
and mixed Hinglish usage.
We're looking for a
passionate AI/ML Engineer
with strong expertise in
speech synthesis, model training, and low-latency optimization
to join our team.
Key Responsibilities:
TTS Development & Optimization
- Design, train, and fine-tune text-to-speech (TTS) models
with
very low inference latency
suitable for real-time applications. - Work on
end-to-end pipelines
– text normalization, phoneme conversion, acoustic modeling, vocoder optimization. - Implement
streaming & low-latency architectures
for speech generation.
Multilingual Speech Systems
- Build scalable TTS engines supporting all major Indian languages
. - Handle
code-mixing & transliteration
(e.g., Hinglish, Tanglish). - Train
multilingual or cross-lingual TTS models
leveraging transfer learning.
Model Training & Deployment
- Collect, clean, and preprocess large-scale Indian language speech datasets
. - Train models using frameworks like
PyTorch, TensorFlow, or JAX
. - Optimize for
GPU/TPU inference
with libraries like
ONNX, TensorRT, OpenVINO
. - Deploy models in
real-time APIs
(FastAPI, gRPC, WebRTC, LiveKit, etc.).
Research & Innovation
- Experiment with latest speech synthesis architectures
(FastSpeech2, VITS, Glow-TTS, HiFi-GAN, etc.). - Improve
voice naturalness, prosody, and expressiveness
while keeping
latency
-
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