Deep Learning Engineer

Description

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.