1. Extensive experience in deep learning technologies including convolutional neural networks, autoencoders and recurrent neural networks applied to large data sets.
2. Experience in general machine learning methodologies including regression, clustering and classification applied to large data sets.
3. Programming experience in Python and Java.
4. Experience working with various open source deep learning and machine learning frameworks such as Theano and Scikit-Learn.
5. Exposure to big data frameworks such as Hadoop, HIVE and PIG. Programming experience in Map-Reduce.
6. Knowledge of relevant algorithms in NLP and Computer Vision.
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