Computer Vision / Deep Learning Research Engineer
dHired.com
Jobs
Data Engineering
Computer Vision / Deep Learning Research Engineer
Published on Jul 21, 2021
EOS Data Analytics
A Product company with office in Kyiv, Ukraine.
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Experience
1-3 years
Job Type
Full-Time
Remote
Specializations
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.
Must-have
- 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.
- 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.
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