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Speech AI Research Scientist

Speech AI Research Scientist

Neuralbits TechnologiesRepublic Of India, IN
20 hours ago
Job description

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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