Computer Vision / Deep Learning Research Engineer

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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.
  
  

What You Should Bring

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.
  
  

Nice-to-have

• 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.
  
  

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