Principal DF AI Engineer (Vision) ID199272

Job Profile: Engineering ＞ ETS
Job Responsibilities:
Develop deep learning-based vision algorithms, optimize and debug models, and participate in machine vision software development.
Design and implement new vision algorithms according to project requirements, focusing on the development and optimization of core algorithms in the machine vision domain.
Execute machine vision projects on-site at customer locations, including data collection, testing, verification, and debugging.
Complete visual software development, engineering implementation, and iterative optimization for projects, products, and solutions.
Prepare and update relevant technical documentation.
Perform tasks assigned by supervisors and other leaders.
Job Requirements:
Bachelor’s degree or above in Computer Science, Image Processing, Deep Learning, Artificial Intelligence, or related fields, with over 3 years of experience in computer vision algorithm development.
Proficient in C++/C#/Python, with a solid theoretical foundation in algorithms; skilled in image processing fundamentals and familiar with algorithm libraries such as OpenCV and Halcon.
Familiar with common deep learning models, including object detection, image segmentation, object classification, and OCR.
Proficient in at least one deep learning framework (e.g., PyTorch, PaddlePaddle).
Experience in unsupervised learning, zero-shot learning, ViT, defect detection, and character recognition is preferred.
Prior experience in deploying deep learning-based visual inspection projects in industrial settings is a plus.
岗位职责：
负责深度学习视觉算法的开发、模型优化与调试，以及机器视觉产品软件开发。
根据项目需求，设计并开发新的视觉算法，完成机器视觉及图像处理核心算法的实现与优化。
负责机器视觉项目在客户现场的实施，包括数据采集、测试验证及调试工作。
完成项目、产品及解决方案的视觉软件开发、工程化及优化迭代。
编制并更新相关技术文档。
完成上级及其他领导交办的工作任务。
任职要求：
本科及以上学历，计算机、图像处理、深度学习、人工智能等相关专业，具备3年以上图像算法开发经验。
精通C++/C#/Python之一，具备扎实的算法理论基础，熟练掌握图像处理基础知识及相关算法库（OpenCV、Halcon）。
熟悉深度学习常见模型（目标检测、图像分割、物体分类、OCR等）。
掌握至少一种深度学习框架（如PyTorch、PaddlePaddle）。 有非监督学习、零样本学习、ViT、缺陷检测、字符识别等相关经验者优先。
有工业领域深度学习视觉检测项目落地经验者优先。