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Data Scientist - Voice @ Ikspida Com

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 Data Scientist - Voice

Job Description

  • Role Overview
  • Were seeking a highly skilled Data Scientist with deep expertise in speech technologies,
  • advanced NLP, and LLM fine-tuning to join our growing AI research team. In this role, youll
  • develop and optimize cutting-edge machine learning systems that power intelligent audio and
  • language-based solutions. Youll play a key role in creating next-generation AI products that
  • emphasize privacy, performance, and scalability.
  • Key Responsibilities
  • Build a real-time voice-to-text (ASR) pipeline using models like Whisper, wav2vec2, or
  • custom speech models.
  • Design and implement intent detection and entity extraction logic based on transcribed
  • speech, keywords, and semantic patterns.
  • Fine-tune LLMs and transformer models (e.g., BERT, RoBERTa) for downstream tasks
  • such as entity recognition, intent classification, and contextual understanding.
  • Optimize the full model pipeline for low-latency mobile inference using TFLite, ONNX,
  • and quantization techniques.
  • Collaborate closely with AI Product and MLOps teams for deployment, feedback-driven
  • iteration, and continuous performance monitoring.
  • Required Technical Skills
  • Proven experience with ASR models like Whisper, wav2vec2, DeepSpeech, Kaldi, or
  • Silero, including fine-tuning for Indian accents and multilingual speech.
  • Deep understanding of NLP techniques, including keyword spotting, masked token
  • decoding, sequence labeling, and pattern-based classification.
  • Proficient in fine-tuning LLMs and BERT-like architectures for intent detection, NER, and
  • domain adaptation.
  • Ability to extract, manipulate, and analyze speech metadata for feature engineering and
  • signal enrichment.
  • Strong hands-on skills with model optimization techniques like quantization-aware
  • training (QAT), pruning, and runtime-efficient deployment (e.g., on-device inference).
  • Excellent programming skills in Python, with strong command over PyTorch or
  • TensorFlow, and familiarity with NumPy, pandas, and real-time processing tools.
  • Qualifications
  • Bachelors or Masters degree in Computer Science, Electrical Engineering, Data
  • Science, or a related technical field.
  • Academic or practical background in speech processing, ASR, telecom analytics, or
  • applied NLP is highly preferred.
  • Strong portfolio of real-world speech/NLP applications, open-source contributions, or
  • peer-reviewed research.
  • Experience
  • 3 to 6+ years of hands-on experience in speech AI, NLP for intent detection, or machine
  • learning model development.
  • Demonstrated success in building, deploying, and optimizing ML models for real-time,
  • low-latency use cases.
  • Contributions to notable open-source projects such as openai/whisper,
  • mozilla/DeepSpeech, or facebook/wav2vec2
  • Job Classification

    Industry: FinTech / Payments
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Data Scientist
    Employement Type: Full time

    Contact Details:

    Company: Ikspida Com
    Location(s): Hyderabad

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    Keyskills:   DeepSpeech Fine-tuning LLMs and BERT-like architectures Natural Language Processing Machine Learning wav2vec2 Silero Whisper Kaldi Model evaluation & deployment Deep Learning

     Fraud Alert to job seekers!

    ₹ 10-12 Lacs P.A

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    Ikspida Com

    This role is for one of our FinTech Client