AI-Audio Professional

• Good Programming Knowledge - Python, C++
• Python Libraries -Numpy, Pandas
• DL framework - Pytorch, Keras Tensorflow, Scikit Learn
• AI Concepts - Strong fundamentals & working experience in
• Machine Learning (ML)
• Deep Learning (DL)
• Model Tuning, Optimization & Verification
• Transfer Learning
• Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers.
• Tools
• Git
• Docker
• Collaboration tools (Ex. Confluence, Jira)
• Build Audio ML/DL models for given requirement
• Build models from scratch wherever required
• Must be able to code relevant research papers independently
• Tune to improve accuracy and latency
• Support to satisfy the deployment requirements of the product
• Apply transfer learning wherever required

Must have skills

• Audio AI Modelling and tuning experience
• Audio AI concepts, ML/DL working experience in Pytorch/Tensorflow framework.
• Variations of CNN, Auto Encoders
• Proficiency in machine learning/audio preprocessing libraries/frameworks such as Librosa, Kaldi, sklearn, python speech features.
• Signal Processing fundamentals
• Experience in Acoustic models for speech recognition systems.
• Good to have
• Audio
• AI Audio related certification
• Tools for creating Synthetic data
• Experience working in Edge devices

Keywords

C,C++,Machine Learning,Deep Learning,CNN,Pytorch,Tensorflow,Python,Audio AI Modelling*

Mandatory Key Skills

• C,C++,Machine Learning,Deep Learning,CNN,Pytorch,Tensorflow,Python,Audio AI Modelling*