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AI Audio/Speech Developer

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Onsite

AI Audio/Speech Developer

Matchpoint Solutions

AI Audio/Speech Developer

Skills

Deep LearningPythonPyTorchTensorFlowMachine LearningAINLP / Natural Language Processing

16 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

5 October 2026

What they need


MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Job Title: AI Audio/Speech Developer
Location: Bengaluru
Employment Type: Full-time

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.

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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