Principal DF AI Engineer (Vision)

Guangzhou - China

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

At Jabil we strive to make ANYTHING POSSIBLE and EVERYTHING BETTER. We are proud to be a trusted partner for the worlds top brands offering comprehensive engineering manufacturing and supply chain solutions. With over 50 years of experience across industries and a vast network of over 100 sites worldwide Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

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:

Bachelors 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OpenCVHalcon
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PyTorchPaddlePaddle 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

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Jabil including its subsidiaries is an equal opportunity employer and considers qualified applicants for employment without regard to race color religion national origin sex sexual orientation gender identity age disability genetic information veteran status or any other characteristic protected by law.

Accessibility Accommodation

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#whereyoubelong

Required Experience:

Staff IC

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:

Bachelors 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