Machine Learning & Computer Vision Engineer

We are seeking a Machine Learning & Computer Vision Engineer to develop AI-driven vision systems for autonomous ground vehicles used in precision farming operations. This role involves designing and optimizing deep learning models for crop monitoring, weed detection, and autonomous navigation, ensuring real-time decision-making in dynamic farming environments.

You will work on object detection, segmentation, motion tracking, and real-time inference to enhance field operations such as crop health monitoring, lane detection, and obstacle avoidance in agricultural robotics.

Mandatory Skills

· Computer Vision & Image Processing

· Deep Learning (TensorFlow/PyTorch)

· Object Detection & Segmentation (YOLO, Faster R-CNN, Mask R-CNN)

· Feature Extraction & Model Optimization for Edge AI

· Python & C++...