Audio AI Developer

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.