Senior Computer Vision

This is production computer vision tooling built around PyTorch, OpenCV, YOLO, and vision transformers. You get model training scripts, inference optimization tools, and dataset pipeline builders that handle the typical CV workflow from data prep through deployment. It covers object detection, segmentation, 3D vision, and video processing with an emphasis on real-time inference and MLOps patterns. The reference docs walk through architecture patterns, detection optimization, and production system design. Honestly, the generic ML boilerplate (Spark, dbt, LangChain) feels tacked on, but the core CV stack is solid if you're shipping vision models to production and need deployment patterns that actually scale.