In this role you’ll be supporting the innovation ramp-up by contributing to the intelligent systems’ development. That will require an implementation of your interdisciplinary expertise to the algorithmic solutions. You’ll be conceiving best response scenarios to the environment by using deep reinforcement learning techniques.
If you are interested in talking to us, please fill in the application form at: apply.deepersystems.com
demonstrable mathematical understanding of machine learning, deep learning, and reinforcement learning fundamentals;
strong Python skills whilst working with TensorFlow and Keras;
hands-on experience in implementing Reinforcement Learning;
experience with developing functioning Deep Q Learning systems;
strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions.
Ways to stand out from the crowd:
experience with Bayesian Networks;
familiarity with PyTorch or Caffe;
knowledge of optimization algorithms.