Design, develop and deploy deep learning systems for Visual AI Problems. Analyse deep learning architectures and define architecture strategy. Deploy Models in production and enable auto retraining framework. Work on Model Deployment on Edge device. Optimally manage available resources such as compute hardware, edge memory and data. Define relevant metrices for model performance. Define data augmentation pipeline and pre-processing strategies. Implement appropriate Deep Learning algorithms and ability to debug neural networks. Study and reproduce DL prototypes/research papers