Lead Ai/Ml Engineer – Computer Vision & Smart Gate Automation (Nvidia Jetson)

The Mission
Develop an end-to-end cattle sorting system utilizing an NVIDIA Jetson Orin (Neousys ipc), sick cameras, and ilidar triggers. You will be responsible for the vision logic to identify specific phenotypes and the real-time I/O required to trigger physical gates.

Tech Stack & Requirements
Vision: Expert-level YOLO (v8-v11) and OpenCV optimized for Jetson/TensorRT.

Integration: Syncing industrial camera feeds with iLidar triggers and managing hardware-level latency.

Full-Stack: Build a lightweight dashboard (Laravel, Node.js, or similar) for data logging and image storage.

Background: Previous experience in manufacturing automation or robotics where software interacts with physical hardware.

Key Deliverables
Real-Time Detection: Accurate phenotype identification in variable outdoor lighting.

Hardware Control: Reliable gate triggering based on vision inference.

Clean Code: Managed via GitHub with full documentation and weekly functional demos.