Computer Vision Engineer
high level Python programming expertise;
expert-level knowledge of OpenCV;
ability to think critically and adapt in a fast-paced start-up environment;
experience developing Computer Vision solutions for applications, particularly in profiling techniques;
strong familiarity with practical applications of fundamental CV algorithms.
Ways to stand out from the crowd
familiarity with C/ C++;
experience using transformers, particularly in Computer Vision;
proficiency using docker, VPC platforms;
experience with emulation environments such as Unity;
familiarity with PyTorch, Keras, TensorFlow, CUDA;
experience in 3D computer vision and video analytics algorithms;
experience with shader/graphics code.