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Nerve Cells AI pvt. ltd.
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Computer Vision Engineer

Computer Vision Engineer

Nerve Cells AI pvt. ltd.

0 years

0 Lacs

Chandigarh Chandigarh India

Posted:1 day ago| Platform:

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Skills Required

vision design ai algorithms tracking learning processing deployment research lighting latency inference data training testing preprocessing evaluation power test fusion lidar radar imaging localization communication ros simulation robotics electrical engineering certifications planning development

Work Mode

On-site

Job Type

Part Time

Job Description

Who Are We Looking ForWe 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.

Nearest plant to earth - The answer is Golden
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 DaysMonday to Friday (5 days a week)Working Hours8 hours a day, excluding breaks.Perks & Benefits You'll GetPublic holidays as per yearly planning. flexible hours, Tea-coffee, professional development opportunities, paid leaves and a decent working environment.

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Computer Vision Engineer