AI Computer Vision Developer

Airobotics is a leading company specializing in the development and manufacturing of autonomous drone systems. Its solutions combine hardware, software, and AI-driven technologies to support complex, large-scale operations. Airobotics works primarily with defense industries, such as military and law enforcement agencies worldwide. The company is part of Ondas Holdings and operates as a wholly owned subsidiary. We are seeking for AI Data Scientist to join our team, with a strong focus on computer vision applications . The ideal candidate will have experience in AI vision tasks such as object detection, SLAM, tracking, and real-time image processing , while also being comfortable applying AI techniques to non-vision data when needed. Our AI vision models are designed to run efficiently on edge devices such as NVIDIA Jetson, Raspberry Pi, and similar platforms , with opportunities to contribute to broader AI research and applications across the company. What We Offer • Opportunity to work on cutting-edge AI vision and robotics challenges. • Collaborative and innovative work environment. • Professional growth in a cross-disciplinary AI and robotics setting.

Requirements: Required Qualifications • Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow). • Proven hands-on experience with object detection and tracking models (e.g., YOLO-based frameworks). • Experience in SLAM and real-time computer vision applications. • Expertise in building end-to-end AI pipelines, including preprocessing, training, validation, and deployment. • Experience with real-time inference on edge and GPU platforms. • Solid understanding of machine learning concepts, probability, and optimization. • Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, SciPy, scikit-learn). • Experience in training, fine-tuning, quantizing, and deploying models on edge devices (e.g., Jetson, Raspberry Pi, etc.) and GPUs. Preferred Qualifications • Knowledge of 3D vision techniques (stereo vision, depth sensing, LiDAR fusion). • Exposure to non-vision AI applications such as NLP or time-series forecasting. • Strong problem-solving skills and ability to work in fast-paced R&D environments.