Computer Vision Engineer

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.
  
  

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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 You'll Get

Public holidays as per yearly planning. flexible hours, Tea-coffee, professional development opportunities, paid leaves and a decent working environment.