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;
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