Deep Learning – Computer Vision Engineer

Job Description:

We are looking for a deep learning – computer vision engineer with a strong and proven capabilities of building deep learning, machine learning and computer vision solutions.

Responsibilities:

• Build, train, tune and optimize Deep Convolutional Neural Networks (DCNN) to implement various computer vision tasks (classification, localization, feature extraction, fine-grained recognition).
• Build, train, tune and optimize Recurrent Neural Networks for various computer vision tasks (such as person activity detection).

Requirements:

• Master’s degree in a quantitative field like Computer Science, Engineering or related field required, with significant focus on deep learning.
• 3+ years experience in Python and/or Java; additional knowledge of other programming languages (C++, R, etc.).
• 2+ years professional or academic experience with common deep networks including convolutional networks, recurrent networks and autoencoders.
• Experience in applying machine learning on real-life problems.
• Experience in working with large datasets.
• Experience in deep learning frameworks like TensorFlow, Caffe 2, Torch/PyTourch, Theano; Projects on computer vision are a strong plus.
• Experience with computer vision techniques and libraries (OpenCV, PIL).
• Experience with sourcing datasets for different use cases.
• Ability to work collaboratively in a team environment and to communicate complex ideas effectively