Associate Director - Bangalore, India - Ola Electric

    Ola Electric
    Ola Electric Bangalore, India

    2 weeks ago

    Default job background
    permanent Technology / Internet
    Description

    Job Description :

    Ola Electric is hiring Edge AI experts who would be responsible for building Edge AI Computer Vision applications for its Autonomous Team.

    Key Skills/Qualification : Phd/Masters in Computer Science or related disciplines.

    10+ years of relevant experience in running AI applications on edge devices.

    Strong experience in Developing and optimizing transformer-based architectures for edge applications.

    Strong experience in Object Detection, Object Tracking, Depth Estimation, Camera calibration, Semantic and panoptic segmentation.

    Experience in transformer-based architecture for large language models and Computer Vision.

    Good understanding of Quantization concepts and Quantization-aware training, sparsity and pruning techniques.

    Strong track record of successfully building and Managing Edge AI team.

    Strong software and systems engineering skills.

    Proven track record in managing high performance teams. Good knowledge of algorithm development.

    Desired Skills :

    Publication record in Machine Learning / Deep Learning / Computer Vision.

    Working knowledge of C/C++ would be a major plus.

    Roles & Responsibilities :

    Build and manage a team of bright Research Engineers and Software Engineers with ability to keep and pioneer research and algorithm development on Edge AI platforms.

    Collaborate with and influence leadership to drive data-driven decisions and strategies.

    Develop partnerships with engineering and product teams to deliver cross-functional requirements.

    Work and collaborate extensively with Edge AI platform providers such as NVIDIA, Qualcomm, Texas Instruments, Renesas, Cerebras.

    Communicate with all levels of leadership including executives.

    Stay update with latest technological and research developments in Edge AI optimization, AI model development innovations.

    Should have strong bias for action and curiosity to learn.

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