Computer Vision Engineer (Video Analytics, Python) - OP02259-OS

Description: Join Dev.Pro as a Computer Vision Engineer focusing on GPU-accelerated video analytics for real-time safety monitoring. Collaborate with engineering and product teams to design and optimize pipelines for detecting and tracking safety events in high-volume video streams. Requirements: 7+ years of software engineering experience with strong backend skills. 3+ years of experience shipping computer vision solutions to production. Strong proficiency in Python and experience with OpenCV, PyTorch, async I/O frameworks, and API integrations. Hands-on experience with YOLO/Ultralytics or similar object detection frameworks. Knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation. Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning). Upper-Intermediate+ English level and ability to communicate effectively with teams. Benefits: Collaborate with top engineers on innovative computer vision projects. Gain hands-on experience with impactful systems enhancing safety across large fleets and industrial operations.