Computer Vision / Deep Learning Research Engineer

Published on Jul 21, 2021
EOS Data Analytics

A Product company with office in Kyiv, Ukraine.

Apply for a Job

1-3 years
Job Type:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities
  • 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.

What You Should Bring
  • 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.
  • 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.

What You Will Get Benefits
  • 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.

Recommended Courses in Data Engineering, Deep Learning and Data Science & AI