Senior Computer Vision Engineer (Python / OpenCV)

We are looking for an experienced Computer Vision engineer with deep expertise in Python and OpenCV to optimize an existing production image-processing pipeline that detects UI elements in video game screenshots. This is a highly technical project focused on building a fast, accurate, production-ready visual detection system using classical computer vision. This is not an AI/LLM project. Required skills: expert Python, expert OpenCV, template matching including multi-scale, image preprocessing, feature detection and image alignment, OCR optimization or replacement, confidence scoring, bounding box detection, and high-throughput performance tuning. The solution must: - Detect target visual elements with extremely high accuracy - Return bounding box coordinates and a confidence score for every detection - Produce near-zero false positives and false negatives - Work consistently across resolutions, aspect ratios and scaling (1080p, 1440p, 4K, ultrawide, super ultrawide) - Be optimized for high images per second and low latency - Integrate into our existing Python pipeline (no API, backend or UI work needed) Acceptance criteria: - Production-ready OpenCV implementation integrated into the existing pipeline - Standalone Python validation script that runs on a folder of images and reports detection result, bounding box, confidence, time per image, images per second, precision, recall, false positive rate and false negative rate - Passes all provided positive and negative test cases with zero false positives on negative images - Clear documentation of the approach and tuning To apply, please include examples of similar OpenCV work, your approach to near-zero false positives, and any benchmark results from past projects.