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    Netradyne - Senior Engineer - Machine Learning - Delhi, India - Netradyne Technologies India Pvt Ltd

    Netradyne Technologies India Pvt Ltd
    Netradyne Technologies India Pvt Ltd Delhi, India

    1 day ago

    Default job background
    permanent Engineering / Architecture
    Description

    Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD, etc. We build cutting-edge AI solutions to enable drivers and fleets to realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce :

    • You will help design, implement, and commercialize driver monitoring and driver assistance algorithms. You will have access to very large datasets and will get to deploy new algorithms/models into thousands of vehicles.
    • Design and commercialize algorithms characterizing driving behavior.
    • Design, implement, and track key metrics; and architect data-driven solutions.
    • Improve machine learning infrastructure for scalable training and inference.
    • Innovate and develop proof of concept solutions showcasing novel capabilities.
    Requirements :
    • B Tech, M. Tech, or PhD in computer science, electrical engineering, or a related area.
    • Excellent programming skills - Python (required) and C++ (desired).
    • 3+ years of Research or industry experience within computer vision and machine learning models.
    • Ability to take abstract product concepts and turn them into reality.
    • Ability to innovate on cutting-edge problems without documented solutions.
    Desired Skills :
    • Experience with image, video, and time-series data.
    • Experience with road scene understanding (objects, lanes, intersections, signs, etc. ).
    • Experience with person/driver scene understanding (pose, distraction, eye status, etc. ).
    • Experience with successfully applying machine learning to solve a real-world problem.
    • Experience with conducting successful statistical experiments.
    • Experience with predictive analytics.
    )
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