AI Research Engineer – Speech/ASR

6 days ago

Mumbai, India Neuralbits Technologies Full time

Neuralbits has been a healthcare technology leader for 12+ years, powering IPD/OPD and clinical workflows across India. We’re now building a voice-first healthcare AI platform powered by our own: - Multilingual Speech-to-Text (STT) engine - Healthcare-fine-tuned LLMs - Large, curated clinical dataset collected over 14 years - AI tools for clinical documentation, voice search, triage, patient interaction & more Role: Research Engineer – Speech/ASR + LLM We are looking for an engineer with 1–2 years of hands-on research experience in: - Speech recognition (ASR) - Whisper/Wav2Vec/XLS-R - Audio processing - LLM model training / fine-tuning - NLP model development OR experience from: - Research labs (IIT, IISc, BITS, etc.) - AI startups - ML research internships - Academic thesis projects that resulted in real ASR/LLM outputs Responsibilities 🗣️ Speech / ASR - Train & fine-tune multilingual ASR models - (Whisper, NeMo Conformer, Wav2Vec2, XLS-R) - Build & evaluate STT models for Indian languages - Improve accuracy for code-mixing (Hinglish/Tanglish/etc.) - Handle real-world noisy OPD/clinic audio - Implement chunked streaming inference - Work with VAD, simple diarization, and segmentation - Build WER/CER evaluation pipelines 🧠 LLM / NLP - Fine-tune LLMs (Llama, Mistral, Gemma) on clinical datasets - Build models for: - Clinical summarization - Entity extraction (symptoms, diagnosis, plan) - Multilingual documentation - Voice command agents - Build training datasets from OPD transcripts - Optimize inference (vLLM/TGI) 🏗️ Research + Engineering - Read & implement research papers - Prototype new architectures - Run experiments at scale - Collaborate with Speech + LLM teams - Prepare reports, benchmarks & internal publications Required Skills Must-Have - 1–2 years hands-on experience in ASR or LLMs - Strong Python & PyTorch - Experience fine-tuning Whisper / Wav2Vec / XLS-R OR LLMs - Experience with GPU training - Good understanding of speech features (MFCC, spectrograms) - Experience using HuggingFace or NeMo - Strong debugging skills & experiment tracking Nice-to-Have - Experience with Indian languages - VAD, diarization (basic) - Triton/vLLM - Distributed training basics - DSP fundamentals - Research publications or internship at ML labs How to Apply Send your resume + GitHub + projects to: 📨 bharat@neuralbits.com Subject: “Research Engineer – Speech/LLM – Your Name” Include any: - ASR demos - Whisper/Wav2Vec fine-tuned models - LLM fine-tuning projects - Research papers / thesis / experiments Job Location : Mumbai Salary : very competitive

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