Valuable 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

📌 AI-Audio Professional (Bengaluru)
🏢 Shashwath Solution
📍 Bengaluru