Careers

At REDX WeSchool you will have access to great mentorship, latest design tools and a great environment for like-minded people with diverse skill sets. You will receive active mentorship from world-class experts and support with state-of-the-art infrastructures (hardware, software, and design) like Computing machines, GPU clusters, 3D printers and several rapid prototyping tools. Bring passion and dedication to your job and there’s no telling what you could accomplish. Imagine what you could do at REDX WeSchool!

 

As a REDX WeSchool team member, you will be responsible for research, design, development, and test of ideas that will impact billions.

The innovator/fellows will participate in multidisciplinary research and should possess a strong foundation of the mathematics behind Artificial Intelligence algorithms.

Candidate should have experience in developing efficient Machine Learning pipeline and demonstrate proficiency in using Machine Learning and Deep Learning frameworks like Scikit-learn/ Caffe/ TensorFlow/ Torch/ PyTorch. They should be familiar with Big Data Analytics for different data types like text, audio, video, images, social network, geospatial, etc. Experience of using Deep Learning to solve real-world problems by analyzing images or video is a plus.

The innovator/fellows will participate in multidisciplinary research and should possess a strong foundation of the mathematics behind Artificial Intelligence algorithms.

Candidate should have experience in developing efficient Machine Learning pipeline and demonstrate proficiency in using Machine Learning and Deep Learning frameworks like Scikit-learn/ Caffe/ TensorFlow/ Torch/ PyTorch. They should be familiar with Big Data Analytics for different data types like text, audio, video, images, social network, geospatial, etc. Experience of using Deep Learning to solve real-world problems by analyzing images or video is a plus.

The innovator/fellows will participate in multidisciplinary research and should possess a strong foundation of the mathematics behind Artificial Intelligence algorithms.

Candidate should have experience in developing efficient Machine Learning pipeline and demonstrate proficiency in using Machine Learning and Deep Learning frameworks like Scikit-learn/ Caffe/ TensorFlow/ Torch/ PyTorch. They should be familiar with Big Data Analytics for different data types like text, audio, video, images, social network, geospatial, etc. Experience of using Deep Learning to solve real-world problems by analyzing images or video is a plus.

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