Job Description:

• Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models)
• Expertise in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN, Transformer, and/or Transfer Learning in a production environment
• You have deep proficiency in at least one OO statically typed language (C, C++, Go) and Python
• You are very fluent in one or more ML tools like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these
• You preferably have proficiency and experience in NLP or Computer Vision
• Knowledge acquired earning a degree in Computer Science or Math would be of great value in this position