— Knowledge and experience with algorithms and data structures;
— Strong knowledge of linear algebra, calculus, statistics and probability theory.
— Experience with Machine Learning libraries (NumPy, SciPy, Pandas, ScikitLearn ,etc);
— Experience with at least one of Deep Learning frameworks (Tensorflow, Keras, PyTorch, etc);
— Strong knowledge of OOP;
— Intermediate English.
— Docker practical experience;
— Experience in Computer Vision (segmentation, object detection, recognition, tracking, etc);
— Knowledge of modern Neural Networks architectures (DNN, CNN, LSTM, etc).
— Participation in Kaggle competitions.
— Research experience in university.
— Exchange of experience, professional development;
— A strong team, a healthy atmosphere;
— Guidance by experienced Mentor;
— Flexible working time;
— 20 hours of work per week.
— During your internship, you will work on a research project for ESA using remote sensing data