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Audio AI Developer

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Onsite

Audio AI Developer

Deevia Software India

Audio AI Developer

Skills

Deep LearningPythonPyTorchTensorFlowMachine LearningAINLP / Natural Language Processing

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

10 September 2026

What they need


Experience

2 to 5 years of experience, with at least 2+ years of hands-on experience in Speech-to-Text (ASR) and Language Model development.

Job Summary

We are looking for a highly motivated AI Audio/Speech Developer with strong expertise in Deep Learning, Speech Recognition, and Large Language Models. The ideal candidate should be capable of independently designing, training, fine-tuning, and optimizing AI models from scratch, implementing research papers, and developing state-of-the-art speech and language solutions.

Key Responsibilities

  • Design and develop Speech-to-Text (ASR) and language processing solutions using Deep Learning techniques.
  • Build, train, fine-tune, and optimize transformer-based models from scratch.
  • Implement and reproduce advanced research papers related to speech recognition, NLP, and Generative AI.
  • Work on LLM and SLM architectures, model adaptation, quantization, and deployment optimization.
  • Develop and improve speech recognition pipelines for accuracy, latency, and resource efficiency.
  • Perform model evaluation, benchmarking, and performance tuning.
  • Collaborate with cross-functional teams to integrate AI models into production applications.
  • Stay updated with the latest advancements in Speech AI, LLMs, and Generative AI technologies.

Required Skills

Technical Skills

  • Strong knowledge of Deep Learning, Machine Learning, and Neural Network architectures.

  • Deep understanding of Transformer Architecture and Large Language Models (LLMs).

  • Hands-on experience with:

  • Automatic Speech Recognition (ASR)

  • Speech-to-Text systems

  • Language Models

  • Transformer-based architectures

  • Experience in training, fine-tuning, and optimization of ASR models.

  • Hands-on experience with:

  • LLM fine-tuning

  • Quantization

  • Model optimization

  • Parameter-efficient tuning techniques

  • Strong programming skills in Python.

  • Experience with PyTorch and/or TensorFlow.

  • Experience implementing research papers and converting them into production-ready solutions.

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