Job Description : Strong fundamental understanding of various modern machine-learning methods, and with good experience in a few of the following areas: deep neural networks, reinforcement learning, Markov Random Fields, Bayesian networks, semi-supervised learning, computer vision, image processing, signal processing, distributed computing, and/or numerical optimization.
Substantial programming experience, preferably in Python. .
Familiarity with ML frameworks such as Tensorflow, Theano, MXNet, etc.
Experience in building AI-related solutions.