Cloud Video AI Engineer

Cloud Video AI Engineer

  • Anywhere

Company Name:-
Avaya

Job Location:-
Irving, TX

Job Summary:-
About Avaya
Businesses are built by the experiences they provide, and every day millions of those experiences are delivered by Avaya Holdings Corp.

(NYSE: AVYA).

Avaya is shaping what’s next for the future of work, with innovation and partnerships that deliver game-changing business benefits.

Our cloud communications solutions and multi-cloud application ecosystem power personalized, intelligent, and effortless customer and employee experiences to help achieve strategic ambitions and desired outcomes.

Together, we are committed to help grow your business by delivering Experiences that Matter.

Learn more at www.

avaya.

com.

Job Information

The MPaaS team (Media Platform as a Service) is looking for a video AI expert who would like to learn and contribute to our large cloud media services solution.

If you’re as passionate as we are about making the MPaaS platform increasingly awesome for our customers, we’d love to chat with you! We’re seeking highly talented, driven, and motivated software engineers with big ideas, who are also obsessed with delivering new, intuitive, engaging, and efficient media services to our customers.

#LI-NA1
#LI-remote

About the responsibilities
Using neural networking AI technology perform object classification, detection, and segmentation of video for a variety of video services in a cloud architecture.

Work to enhance video quality using deep learning techniques such as super-resolution
Implement highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
You will be a core member of the MPaaS platform.

Participate in design, coding, reviews, testing, documentation, deployment, and support
Collaborate in analyzing existing code and remediating both functional and performance issues in large scalable distributed systems
Apply secure coding principles to protect system operation and customer data
Drive code testing and quality best practices including unit, functional and integration testing to create confidence and deliver quality code
Experience
2+ years hands-on experience in deep learning algorithms and techniques, e.

g.

, convolutional neural networks (CNN), recurrent networks (RNN) and/or related areas
2 years of intensive hands-on experienc

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