Deep Learning Audio Codec Engineer

1 day ago


Bengaluru Delhi Hyderabad NCR, India Int9 Solutions Full time ₹ 6,00,000 - ₹ 18,00,000 per year

About the Role:

We are seeking a Deep Audio Coding Optimization and Deployment Engineer to design, implement, and optimize deep learning models for audio coding. This role focuses on improving model efficiency, deploying models to real-world environments, and collaborating with cross-functional teams to advance audio coding technology.

Key Responsibilities:

  • Develop and implement algorithms for efficient training and real-time inference of deep audio coding models
  • Optimize models for accuracy, speed, size, and computational efficiency, including model compression techniques (quantization, pruning, distillation)
  • Deploy AI models as reference code for standards and ensure performance on mobile and embedded architectures
  • Profile, test, and optimize models using hardware acceleration where applicable
  • Collaborate with product managers, engineers, and researchers to define and refine model evaluation methods
  • Research and implement the latest machine learning and inference technologies to enhance audio coding solutions

Required Qualifications & Skills:

  • Masters or PhD in Electrical Engineering, Computer Science, or a related field with a focus on deep learning
  • Strong experience in audio/speech codecs and digital signal processing
  • Hands-on experience with deep learning frameworks: PyTorch, TensorFlow, ONNX, NNAPI
  • Proven experience in model optimization for constrained environments (quantization, pruning, distillation)
  • Programming proficiency in Python, C/C++, or Matlab
  • Experience with embedded systems, computer architecture, or high-performance computing
  • Strong analytical, problem-solving, and team collaboration skills
  • Preferred Qualifications: Experience with hardware-accelerated inference
  • Familiarity with standards-based audio coding projects
  • Prior contributions to open-source audio or ML libraries

Location - Bengaluru,Hyderabad,Delhi / NCR , Chennai , Pune , Kolkata , Ahmedabad , Mumbai


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