We are looking for Computer Vision Engineer to our CHI Software team.
— Strong knowledge in computer vision fundamentals i.e. OpticalFlow, HOG, feature detection algorithms, Hough Transform, Haar Cascades, Homography, Morphology, Denoising/Deblurring, and image processing algorithms.
— Strong Python knowledge
— Strong practical experience with DL/CV frameworks like OpenCV, PyTorch, MXNet, Tensorflow, or Keras
— Experience with some of the well-known neural networks architectures such as Yolo, MobileNet, U-Net, R-CNN-based architectures;
— Understanding state-of-the-art CV approaches for problems like object detection/tracking, video analysis, semantic segmentation, pose estimation, optical character recognition
— Upper-intermediate level of English mandatory
Would be a plus:
— Experience with R, C++
— Experience with following modern neural network architectures: LSTM and other RNN-based, Tranformers(BERT etc.).
— Familiarity with time-series predictive/anomaly detection analyses, natural language processing, signal processing
— Understanding SOTA approaches for machine learning problems like unsupervised / semi-supervised learning.
— Experience with the following DL frameworks: DLib, Darknet, Theano.
—Awareness of CRISP-DM process model
— Experience with continuous integration and release management tools, preferably within the AWS platform.
— Hands-on Experience with the common architecture of MLOps system by the means of Hadoop, Docker, Kubernetes, cloud services and experience with managing production ML lifecycle
Job posted on
20 November 2020