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
o Machine Learning (ML)
o Deep Learning (DL)
o Model Tuning, Optimization & Verification
o 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