We are looking for a Senior Computer Vision Engineer with strong experience in object detection, MOT, and ReID to join our existing team and strengthen ongoing development efforts.
Who are we looking for? ● At least 5 years of professional experience in the Computer Vision field. ● Proficiency in Python and Deep Learning frameworks such as PyTorch and TensorFlow. ● Proven experience in object detection, multi-object tracking, camera calibration, and triangulation. ● Experience with object detection frameworks such as YOLO. ● Experience with multi-object tracking algorithms (e.g., DeepSORT, ByteTrack). ● Experience with person re-identification frameworks like TorchReid. ● Strong verbal and written communication skills in English..
Пропонуємо
We offer: ● А place with friendly environment where you can reach your full potential and grow your career ● Flexible work schedules ● Work from home ● Social package: paid sick leave and vacation ● English courses, medical insurance, legal support, etc.
Обов’язки
As a Computer Vision Engineer you will: ● Develop and optimize person detection and tracking pipelines for multi-camera systems. ● Integrate pose estimation and appearance-based embeddings for improved identity consistency. ● Handle challenges like occlusions, lighting variations, and overlapping fields of view. ● Fine-tune and adapt tracking models on in-house datasets.
Про проєкт
The project is a real-time multi-camera tracking system designed for complex indoor environments. It leverages advanced computer vision and object tracking algorithms to analyze video streams from multiple cameras simultaneously. It is used in e-commerce environments, POS systems, security and surveillance applications, and cash management solutions, providing insights and automation through visual analytics and AI-powered detection.
