Senior Python Developer for LDPlayer Multi-Instance Automation (OpenCV, ADB, State Machine)

Project Overview I am looking for an experienced Python developer to build a robust and scalable automation system for an Android game running inside LDPlayer on Windows. The automation must support both single-instance and multi-instance operation. It should be capable of managing multiple LDPlayer instances simultaneously, allowing them to work independently or in a coordinated manner when required. The software should be designed using a State Machine architecture, where each emulator instance maintains its own independent state, makes decisions based on its current situation, automatically detects and recovers from errors, and continues operating without affecting other running instances. The automation should rely primarily on OpenCV and computer vision for detecting game states and user interface elements. Experience with YOLO or other modern computer vision techniques is considered an advantage, but strong OpenCV experience is required. I am looking for a reliable, modular, maintainable, and long-term solution rather than a simple automation script. If this project is completed successfully, I would like to continue working with the same developer for future updates, maintenance, and new features, since the game receives updates over time.