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Q-Tech

Today we have 96 offers

Deep learning researcher

Deep learning researcher
Cutting-edge AI platform
Barcelona
European leader of the audiovisual sector
3 months ago
Reference
LP_DL
Retribution
Competitve remuneration
Contact person
p. +34 638 405 476
Contact person
Description

Our client is a leading group in the European audiovisual sector, unique in content integration, production and distribution. In their Barcelona headquarters they develop a novel system for broadcasting production which is currently being sold and used around the globe.

Cutting-edge AI and video processing to leverage the limitations of traditional / human operated broadcast production, enabling new business opportunities.

They are a team of passionate engineers, scientists and developers working on small, heterogeneous teams using an agile approach. They constantly improve their product requirements based on continuous customers feedback. “Believers” in good software practices such as clean code, "eat your own food ", unit testing and code reviews among others. They use tools such as Jenkins/GIT/CMake in their continuous integration workflow, so if these terms are familiar to you, it will help you land in their team smoothly.

Currently, they have an open job position for a Deep Learning researcher with a strong knowledge on state-of-theart deep learning architectures, algorithms, and developing skills. The fields of interest for the project include video object tracking, image segmentation, action recognition and video summarization, among others, all of them having to meet real-time requirements. The profile we are looking for will be working side by side with the developing team to incorporate the new ideas to the final product.

Feeling challenged? We are ready to hear from you!

Basic requirements
• Good python development skills.
• Experience in Deep Learning frameworks (Tensorflow/Caffe/Pytorch).
• Knowledge on object detection and tracking, image segmentation, action recognition, video summarization.
• Low-level understanding of Deep Learning architectures.
Nice to have
• Experience with C++ / CUDA.
• Knowledge on dataset creation and management.
• Good publication profile (CVPR, ICCV, ECCV, TPAMI, …).

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