The aim of the role is to squeeze out every stage of deep learning codes’ performance through applying both theoretical creativity and technical intuition. You will be contributing to the disruption of the traditional solutions by developing algorithms.
- strong Python skills whilst working with TensorFlow and Keras;
- both practical and theoretical knowledge about machine learning and neural networks;
- experience with image processing and convolutional networks.
Ways to stand out from the crowd:
- experience with PyTorch;
- knowledge of GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP);
- knowledge of compiler internals from front end to run-time environment;
- hands-on experience with big data;
- familiarity with big data techniques like Hadoop, Spark, or Cassandra;
- great communication and organizational skills.
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