Responsibilities : - Train speech-to-text (STT) and text-to-speech (TTS) models from scratch.- Adapt models for Indian languages, Hinglish, and banking/insurance vocabulary.- Build parts of speech-to-speech systems (tokenizers, codecs, streaming decoders).- Build data pipelines : cleaning, labeling, and augmentation.- Evaluate models (WER, entity accuracy, latency) and optimize them for deployment.- Analyze production errors and turn them into test sets.- Senior level (3+ years) : Own a research area (STT, TTS, or speech-to-speech), pre-train large models on 100k+ hours of audio, define benchmarks, and mentor 1-3 engineers.Requirements : - 1-6 years in ML, with at least one real speech or audio project.- B. Tech/M. Tech/MS in CS, EE,



or a related field.- Robust Python and PyTorch; able to build a model and training loop yourself.- Speech basics : spectrograms, mel features, CTC, seq2seq.- Experience with one of NeMo, ESPnet, Hugging Face, fairseq, or K2/icefall.- Trained at least one model from scratch (multi-GPU, mixed precision, W&B;/MLflow).- Careful evaluation habits.- For 3+ years, also : 1. 2-3+ years in speech.2. Pre-trained a speech or audio model from scratch that reached production.3. Distributed training experience (FSDP/DeepSpeed, multi-node).Nice to have : - Hindi or another Indian language.- Publications or open-source work.- Real-time or telephony audio experience. (ref:hirist.tech)

📌 ML Research Scientist - Speech AI (Bengaluru)
🏢 Careernet Technologies
📍 Bengaluru