MUST HAVE: Practical knowledge of Deep learning algorithms such as Convolutional Neural Networks(CNN), Recurrent Neural Networks(RNN).:
MUST HAVE: Experience with computer vision techniques (Image Classification, Object Detection i.e YOLO, Faster R-CNN
MUST HAVE: Strong knowledge of statistics, linear algebra, Machine Learning Algorithms: Regression, Classification, and Clustering algorithms.
GOOD TO HAVE:
1. Hands-on experience in decoding and understand pre-trained deep learning models such as inception-net, VGGnet.
2. Ability to understand and implement state-of-the-art research papers. Basic knowledge of NLP algorithms such as Document summarization, TF-IDF.
3. Hands on experience of data visualization libraries such as Matplotlib, seaborn and Bokeh and create a story with data in laymen terms.
You should be able to understand the data science problem, map it with the algorithms and implement programmatically and should be able to make it production ready.Previous Startup experience/health-tech experience will be a big added advantage. (edited)