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.

Positive to have

- Audio
- AI Audio related certification
- Tools for creating Synthetic data
- Experience working in Edge devices

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