AI视觉工程师 AI Visual Engineer (太仓) - Special Machinery

Your Key Responsibilities

负责2D/3D深度学习视觉算法的开发与性能提升，涉及的主要方向包含但不限于目标检测、分类等模型的开发、迭代；
Responsible for the development and performance improvement of 2D/3D deep learning vision algorithms, involving but not limited to the development and iteration of models such as object detection and classification;

负责表面缺陷类算法的开发、迭代；
Responsible for the development and iteration of surface defect algorithms;

负责OCR类算法的开发、迭代；
Responsible for the development and iteration of OCR algorithms;

负责模型的部署与设备层面的落地；
Responsible for the deployment of model and the implementation of device level;

负责部分传统工业视觉调试工作。
Responsible for some traditional industrial visual debugging work.

Your Qualifications

计算机、自动化、数学等相关专业，扎实图像处理、计算机视觉理论基础，掌握领域内常用算法，如图像中的特征提取、目标检测、分类等；
Computer, automation, mathematics and other related majors, solid image processing, computer vision theoretical foundation, master the field of commonly used algorithms, such as image feature extraction, object detection, classification and so on;

具有领域内3年及以上工作经验/硕士以上学历；
Have at least 3 years of work experience in the field/master's degree or above;

有多个AI视觉项目从开发到落地以及后期迭代的经验；
Have experience in multiple AI vision model projects from development to landing and later iteration;

扎实的代码能力，精通python、C++，熟悉Linux下开发；
Solid code ability, proficient in python, C++ and other development languages, familiar with Linux development;

精通一个以上相关开发框架（PyTorch\Tensorflow\Keras\Caffe）的使用,并了解其内部机制；
Be proficient in the use of more than one related development framework (PyTorch\Tensorflow\Keras\Caffe) and understand its internal mechanisms;

熟悉Pillow、OpenCV等图像处理库的使用；
Familiar with the use of image processing libraries such as Pillow and OpenCV;

英语四级以上，有强化学习经验者优先；
CET-4 or above, reinforcement learning experience is preferred;

熟悉传统工业视觉品牌如Cognex、Keyence的调试软件优先。
Familiar with traditional industrial vision brands such as Cognex and Keyence's debugging software is preferred.