ML/AI Researcher - wants to get the best results (good model with high accuracy etc.) and publish in a reputed conference ASAP - few days (1-3 days)
What I am looking for:
An experienced deep learning and computer vision engineer with expert level deep knowledge of computer vision and deep learning(CNN) to classify medical images. We have an idea, the dataset and the base papers ready. All we need is help with what is the best approach to get the best results in the industry which can be published and we need the implementation run on GPU with the best results possible. The second step(next milestone) would be to integrate it into a mobile application.
This project requires experience with:
-Successfully implementing and achieving good results with deep learning models + transfer learning.
-Computer vision, Deep learning, OpenCV, python, TensorFlow, Keras, Convolution Neural Network, Alexnet, VGG16, GoogleNet etc. + Jupiter notebook/Pycharm
-writing skills to draft the methodology used along with the results - deliverable
1. Ideas + Implementation and testing on the dataset(best results in the domain) with image processing, transfer learning and CNN
2. 1-2 page brief writeup on the implementation + results achieved