ML Engineer - Speech

About the Role

**Job Information** ------------------- * Date Opened 28/09/2026 * Job Type Full time * Industry Technology * Work Experience 4\-5 years * City Noida * Province Uttar Pradesh * Country India * Postal Code 201301 **Job Description** ------------------- **Responsibilities:** * Fine\-tune and adapt open\-source speech models on our proprietary call audio * Build training and evaluation pipelines for multilingual and code\-mixed speech * Own model quality against metrics that matter operationally — entity and numeric accuracy, latency to first response — not just aggregate error rates * Design and run data curation at scale: pseudo\-labelling, speech enhancement, quality filtering on messy real\-world audio * Work with our linguist on text normalisation and pronunciation handling * Evaluate candidate architectures, make the call with evidence, and ship the result to production with the platform team ### **Requirements** **Must have skills:** * 3–4 years in ML, with at least 18 months on speech or audio specifically * Strong Python and PyTorch; comfortable reading a paper and implementing it * Hands\-on experience fine\-tuning at least one production speech model * Solid grasp of speech fundamentals — mel\-spectrograms, acoustic models and vocoders, encoder\-decoder vs transducer architectures, evaluation methodology, sampling rates and what they cost you * Understanding of how modern speech systems are actually built: self\-supervised encoders, neural audio codecs, LM\-based generation, flow matching * Experience with genuinely messy audio, not only clean benchmark datasets **Nice to have:** * NeMo, ESPnet, SpeechBrain, or Coqui * Telephony\-band or contact\-centre audio * Multilingual or code\-switched speech work * LoRA/PEFT, distributed training * Open\-source contributions or publications in speech