Algo Engineer (Python & С++, Computer Vision, Machine Learning, Deep Learning) (offline)

The task at hand is to detect and understand objects and people in the room/open space from a top view perspective, develop new features based on this knowledge as well as improve accuracy of the existing ones.
Technologies: Python & С++, Computer Vision, Machine Learning, Deep Learning.

● Full cycle development of algorithmic features: from idea, via prototyping in python, to C++ implementation.
● Developing and maintaining machine learning / deep learning models and integrating them with classic computer vision methodologies.
● Data crunching and analyzing of large datasets, to produce insights for both algorithmic advancements and product development.
● Work with data engineers to scope the data sets and annotation needed
● Development of efficient production-grade software, and maintaining legacy code.
● Work simultaneously both on high level long term projects and immediate critical features.

● Master`s Degree or extensive knowledge in signal processing domains;
● 3+ years of algorithm development experience;
● 3+ year Computer Vision experience;
● Experience with Python;
● Experience with C++;
● Ability to work in a challenging, dynamic environment;
● Upper Intermediate level of English

Would be a plus:
● Work experience with Machine-Learning / Deep-Learning;
● Advanced knowledge of C++ and system-level engineering;
● Experience in real-time/embedded systems or performance optimization.
● Interest in patents and research papers

About ABCloudz

The ABCloudz team is always growing. Join a global company on the cutting-edge of IT, app development, database optimization, and digital infrastructure. ABCloudz is the perfect environment for you to raise your professional skills and understand new technologies. We provide you with an opportunity to work with some of the world’s most important companies.

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  • Category: Data Science
  • algorithms, computer vision, Python, C++, Machine Learning
  • English: Intermediate
  • 3 years of experience
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    Office/Remote of your choice
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