building full-stack analysis solutions using earth observation data (optical satellite imagery, weather data, radar measurements, etc.);
research and develop machine learning/statistical learning models for Optical/SAR data analysis;
research and prototype data processing & analysis algorithms;
working closely with the business team on developing new solutions to practical problems;
implement new statistical or other mathematical methodologies as needed for specific models or analysis.

Що ви маєте вміти

Обов'язково

2+ years of proven experience developing data analytics solutions;
2+ years of work experience in Python or С++;
knowledge one of deep learning frameworks (Tensorflow, Pytorch);
work experience with scikit-learn, scipy, tensorflow (keras) / pytorch, numpy, pandas;
AWS experience including AWS/S3/Lambda etc;
strong understanding of machine learning: you should be familiar with the process (data collection, training, evaluation, and making iterative improvements) of building effective learning systems;
experience developing machine learning-based models;
practical experience in at least one of the following problems: object detection, segmentation, classification, landmarks;
familiarity with architectures for deep learning tasks: U-net, ResNet, SSD, Faster R-CNN, LSTM;
an ability to think outside the box and explore new avenues with natural curiosity and a passion for new subjects and research areas;
strong statistical analysis skills.

Буде плюсом

experience working with (open) EO data, image processing or any relevant computational field (Computer Science, Remote Sensing, Physics, etc.);
advanced degree in any relevant computational field (Computer Science, Remote Sensing, Physics, etc.);
ability to design and implement complex algorithms;
experience with Docker;
R&D experience, comfortable with change and building throwaway work.

Що ви отримаєте Пропонуємо

work with a global brand in dynamic international company;
competitive salary + bonus system;
benefits package (compensation 50% of medical insurance, foreign language courses and sport sections);
20-day paid vacation, paid sick leave;
training, conferences, courses;
bonuses from the company, support in difficult personal situations;
comfortable office (tea, coffee, relax room);
team building & corporate parties.