Machine Learning Engineer

Requirements:

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Bachelor's degree in computer science or a related field.

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At least one year experience as a machine learning engineer

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Advanced proficiency with Python

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Ability to read and understand Research papers

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Strong lead in the English language

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Knowledge of modern Neural Networks, specifically CNN

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Experience in Unix/Linux-based OS

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Knowledge of Computer Vision libraries such as OpenCV, Pillow, and imutils

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Knowledge of scientific libraries such as numpy, scikit-learn and scikit image

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Experience in Machine Learning frameworks such as TensorFlow and PyTorch

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Knowledge of object detection/tracking is a plus

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Solid understanding of Computing and Programming Fundamentals such as Algorithms, Data Structures and Object Oriented Programming

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Ability to work independently without constant guidance and apply Theoretical knowledge to build practical Applications

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Practical understanding of multiprocessing and multithreading concepts

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Knowledge of using development tools such as git, docker, and Jira

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knowledge of docker swarm and cluster programming is a plus

basic understanding of computer networks