Computer Vision Engineer / ML Engineer (miltech)

Hiring Bridge

Що робити

Develop and optimize computer vision algorithms, focusing on tasks such as object detection, tracking, and navigation for real-time edge inference
Implement and customize machine learning models and vision frameworks, ensuring seamless integration with existing drone systems and hardware
Conduct extensive testing and validation of algorithms in real-world scenarios, fine-tuning parameters and optimizing performance for robust performance in various conditions
Evaluate and provide input on appropriate camera sensors, lenses, and onboard computing hardware for vision applications
Develop repeatable testing methods and build data pipelines to evaluate and continuously improve the performance of vision models

Proven ability to develop high-performance, real-time applications in C++ or Rust, specifically leveraging ROS2 for distributed messaging and OpenCV for real-time image processing or feature detection
Strong hands-on experience developing and implementing computer vision systems for real-world, real-time embedded applications
Deep understanding of both traditional computer vision techniques (e.g., feature extraction, optical flow, camera calibration) and modern deep learning architectures (e.g., CNNs, Vision Transformers)
Track record of having implemented and deployed vision applications on robotic platforms in real applications
Strong analytical and problem-solving skills, with the ability to design and evaluate complex algorithms in real-world scenarios

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