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Computer Vision Engineer

5 - 10 years

6 - 10 Lacs

mohali

Posted:None| Platform: Naukri logo

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Skills Required

computer science computer vision communication protocols c++ pdf image processing simulation artificial intelligence rtsp robotics

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Job Type

Full Time

Job Description


Computer Vision Engineer Job Type: Full-Time Who Are We Looking For
We are looking for a passionate and highly skilled

Computer Vision Engineer

who can design, develop, and optimize advanced AI algorithms for object detection, tracking, and classification in real-time aerial environments. The ideal candidate should have a strong foundation in deep learning, image processing, and embedded AI deployment, with experience in working on edge devices for drones or robotics. You should be curious, creative, and performance-oriented, with the ability to translate research into practical solutions that work in challenging real-world conditions such as varying lighting, weather, and object scales.
What You Will Be Doing
  • Develop and optimize

    real-time computer vision algorithms

    for drones to identify, classify, and track objects while in motion.
  • Train, fine-tune, and deploy deep learning models (CNNs, YOLO, SSD, Faster R-CNN, etc.) for aerial imagery.
  • Implement algorithms for

    multi-object tracking

    , anomaly detection, and scene segmentation.
  • Work on

    edge AI deployment

    for low-latency inference using platforms such as NVIDIA Jetson, Qualcomm RB5, or similar hardware.
  • Process and annotate aerial datasets, ensuring high-quality labeled data for training and testing models.
  • Develop pipelines for

    data preprocessing, augmentation, and performance evaluation

    of vision systems.
  • Collaborate with electronics, embedded systems, and drone control teams to integrate vision algorithms with onboard systems.
  • Optimize models for

    low power consumption

    and

    limited bandwidth

    environments.
  • Research and implement

    state-of-the-art computer vision techniques

    for improved accuracy and robustness.
  • Test and validate the system in real-world drone flight scenarios.
    • How many stars in our galaxy - The answer is Red
    Bonus Points for Familiarity with
  • Experience in

    drone perception systems

    or autonomous navigation.
  • Knowledge of

    sensor fusion techniques

    (LiDAR, radar, thermal imaging with RGB cameras).
  • Hands-on experience with

    SLAM (Simultaneous Localization and Mapping)

    .
  • Proficiency in

    C++/CUDA

    for GPU-accelerated vision processing.
  • Familiarity with

    communication protocols

    (MAVLink, ROS, RTSP).
  • Experience in

    military or industrial-grade object recognition

    .
  • Understanding of

    anti-drone detection and countermeasure systems

    .
  • Experience with

    synthetic data generation

    and simulation environments (AirSim, Gazebo, Unity).
  • Exposure to

    3D object detection

    and point cloud processing.
    • Educational Requirement

  • Bachelor s / Master s degree

    in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a related field.
  • Specialized courses or certifications in

    Computer Vision, Deep Learning, or Embedded AI

    will be an advantage.
  • Demonstrated

    hands-on project experience

    in real-time object detection and tracking is highly preferred.
    • Salary
    No bar for deserving candidates.
    Working Days
    Monday to Friday (5 days a week)
    Working Hours
    8 hours a day, excluding breaks.
    Perks Benefits Youll Get
    Public holidays as per yearly planning. flexible hours, Tea-coffee, professional development opportunities, paid leaves and a decent working environment.
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    Notes The Application Process
    • Step 1: Apply through our portal with your resume and a short note on "Why you want to work in this role"
    • Step 2: Shortlisted candidates may be contacted for either a virtual case discussion or a physical interview round
    • Step 3: Final interview with the CEO
    • Step 4: Onboarding and offer letter after joining.

    How can we help you
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