— 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, Transformers(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
With us you can:
Develop your technical knowledge:
— Use latest technologies
— Participate in technical events and conferences (the cost is covered by the company)
— Regular techtalks and professional development
Improve your soft skills:
— Build strong teamwork skills and become an essential part of the dynamic teams
— Improve your English at classes and speaking directly with clients
— Increase your productivity and communication level via Scrum, Kanban, Agile methodologies
What else do we offer?
— Competitive compensation and benefits
— Flexible and negotiable schedule
— Nice and comfortable office
— Covered rest period (20 business days)
— Free English classes (we have 3 teachers in our team)
— Truly friendly atmosphere and unforgettable events
— Discounts offered by individual bonus cards (our partners are coffee shops, bars, and fitness centers)