Computer Vision Engineer (Video Analytics)

Описание TargetAI specializes in video analytics solutions.

Задачи • Design and develop computer vision and video analytics models for object detection, tracking, and recognition • Work with video pipelines, including RTSP/HTTP, decoding, frame sampling, and batching • Adapt and customize models for real-world conditions, including poor lighting, different camera angles, noise, compression, and FPS drops • Fine-tune and retrain models for specific customer scenarios • Optimize inference for CPU • Reduce latency and resource consumption • Balance accuracy and performance • Integrate ML models into production backend services, edge devices, and on-prem installations • Monitor model quality, including precision/recall and data drift • Prepare and analyze datasets through annotation, validation, and data augmentation • Build training and testing pipelines • Analyze model errors and quality degradation

Требования • 4+ Years of experience in Computer Vision/Video Analytics • Strong understanding of CNN, YOLO, and SSD • Experience with PyTorch or TensorFlow, OpenCV, and ONNX • Understanding of video formats and streams, including RTSP, H.264/H.265 codecs, FPS, bitrate, and latency • Experience optimizing CPU-only inference • Experience working with Linux • Deep understanding of OpenVINO • Knowledge of edge device logic • C++ skills for performance-critical parts • Experience with Kafka and gRPC/REST • MLOps skills, including MLflow, model versioning, and monitoring • Experience…