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Netradyne jobs - Research Scientist - Computer Vision Deep Learning

Research Scientist - Computer Vision Deep Learning

Netradyne

location

experience

Fresher

salary

Salary not disclosed

qualification

M Phil / Phd, ME/M.Tech

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Posted: 4 Years ago

Views: 7

Applications: 6

Openings: 1

Job Description

Research Scientist - Computer Vision & Deep Learning

Role and Responsibilities :

Your primary role as a Research Scientist will be researching, developing and applying computer vision, deep learning and other approaches to problems of interest in the area of Intelligent Driving Monitoring Systems (IDMS)
You will be working with the team to deliver successful solutions.
You will also be responsible to design, train and optimize models develop and collect training date sets
Must create and extend training tools and scripts, document designs and results, create software feature solutions and integrate into the commercial platforms.

Essential Skills :

Good knowledge in deep learning. Candidates with Computer vision would be an added advantage.
Deep learning expertise in designing, implementing and training networks
Solid fundamentals in linear algebra, probability theory, and signal processing
Experience in deep learning frameworks such as Caffe, TensorFlow, and Torch7
Extensive programming experience, ideally in C++ and/or Python

Qualifications and Education Requirements : MS / MTECH Or PhD in a related field

Preferred Skills : Publications in CVPR/NIPS/ICML/ICLR would be an added advantage

Job Particulars

Role HR

EducationM Phil / Phd, ME/M.Tech

Who can applyFreshers

Hiring Process Face to Face Interview

Employment TypeFull Time

Job Id256879

StateKarnataka

Country India

About Company

We leverage the depth and expertise within our global technology centers to push the boundaries of intelligent connectivity. Our world-class team of scientists are developing key Intellectual Property in the areas of computer vision, deep learning, edge computing, and predictive analytics to accelerate the evolution of the Industrial Internet of Things (IIoT),driving meaningful advances in the transportation ecosystem.

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