07 Aug
|
CNCT CALL
|
India
The role
Own STT/TTS quality for Indian languages — latency, code-switching, and telephony-grade audio pipelines on our voice platform.
Who should apply
B.E./B.Tech or M.Tech in CS/EE with 2+ years in speech or NLP. Comfortable with Python, PyTorch or similar, and shipping models to production.
Expectations
Fine-tune and evaluate ASR/TTS for Hindi, Telugu, Tamil, and English code-mix
Build offline eval sets and regression tests for model releases
Collaborate with backend on streaming inference at 8–16 kHz
Document model cards, failure modes, and language-specific tuning
Apply for this role Send portfolio or GitHub — we reply within 5 business days
📌 Full Stack Engineer — Python & Frontend Hyderabad (India)
🏢 CNCT CALL
📍 India