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工业AI视觉解决方案工程师

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Onsite

工业AI视觉解决方案工程师

海德鲁(北京)建筑系统工程有限公司

工业AI视觉解决方案工程师

Skills

Deep LearningPythonPyTorchTensorFlowAI

13 days ago

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Important information


Contract type:

Permanent

Salary:

CN¥96,000 – CN¥180,000 / year

Location:

Suzhou, Jiangsu, China

Work mode:

Onsite

Published on:

11 October 2026

What they need


该职位来源于猎聘 关于岗位 我们希望寻找一位能够将AI技术应用到工业现场的工程师,参与机器视觉项目从方案设计、算法开发到现场部署全过程,推动智能检测与智能制造应用落地。 We are looking for an engineer who can apply AI technology to the industrial field, participate in the entire process of machine vision projects from scheme design, algorithm development to on-site deployment, and promote the implementation of intelligent detection and intelligent manufacturing applications. 岗位职责

  • 负责工业缺陷检测、安全识别、设备监测等视觉项目开发与实施; Responsible for the development and implementation of visual projects such as industrial defect detection, safety identification, and equipment monitoring;
  • 参与相机、镜头、光源选型及现场成像调试; Participate in the selection of cameras, lenses, and light sources, as well as on-site imaging debugging;
  • 使用Python、PyTorch开发和优化目标检测、缺陷检测、图像分割、OCR、异常检测等AI算法; Develop and optimize AI algorithms such as object detection, defect detection, image segmentation, OCR, anomaly detection, etc., using Python and PyTorch;
  • 负责模型部署与性能优化,并与PLC、SCADA、MES等系统对接; Responsible for model deployment and performance optimization, and interfacing with systems such as PLC, SCADA, and MES;
  • 参与数据采集、标注、训练、上线及持续优化; Participate in data collection, annotation, training, deployment, and ongoing optimization;
  • 与生产、工艺、设备、质量、IT等团队协作,推进项目落地; Collaborate with teams in production, process, equipment, quality, IT, etc. to facilitate project implementation;
  • 能使用英语进行基本技术沟通。 Able to conduct basic technical communication in English. Job Requirements. 任职要求
  • 本科及以上学历,计算机、人工智能、自动化、电子、光学等相关专业; Bachelor's degree or above, majoring in computer science, artificial intelligence, automation, electronics, optics, or related fields;
  • 2-5年机器视觉或AI视觉项目经验; 2-5 years of experience in machine vision or AI vision projects;
  • 熟练掌握Python及PyTorch/TensorFlow等深度学习框架; Proficient in Python and deep learning frameworks such as PyTorch/TensorFlow;
  • 熟悉目标检测、缺陷检测、图像分割、OCR或异常检测中的一种或多种; Familiar with one or more of target detection, defect detection, image segmentation, OCR, or anomaly detection;
  • 熟悉工业相机、镜头、光源及机器视觉成像原理; Familiar with industrial cameras, lenses, light sources, and machine vision imaging principles;
  • 熟悉OpenCV、Halcon、VisionPro等工具中的一种或多种; Familiar with one or more tools such as OpenCV, Halcon, and VisionPro;
  • 能接受进入生产现场开展项目实施与调试; Able to accept entering the production site to carry out project implementation and debugging;
  • 具备良好的沟通能力和问题解决能力; Possess excellent communication and problem-solving skills;
  • 英语能够熟练阅读技术文档并进行基本工作交流。 Proficient in reading technical documents and conducting basic work communication in English. 优先考虑
  • 工业缺陷检测项目经验; Experience in industrial defect detection projects;
  • PLC、SCADA、MES系统对接经验; Experience in interfacing PLC, SCADA, and MES systems;
  • OPC UA、Modbus TCP等工业通信协议经验; Experience with industrial communication protocols such as OPC UA and Modbus TCP;
  • 铝加工、汽车零部件等制造业项目经验。 Experience in manufacturing projects such as aluminum processing and automotive parts. 一句话概括:懂机器视觉成像,会AI算法开发,愿意下工厂解决实际问题的工程师。 In brief: An engineer who understands machine vision imaging, can develop AI algorithms, and is willing to work in the factory to solve practical problems. Regarding positions.

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