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Open nowPosted 178 days ago

实习-数字化工程师-工业数据治理与BI运营

nio/campus870 open roles

Where
Hefei, Anhui, Chinese Mainland
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Your applicationOpen now实习-数字化工程师-工业数据治理与BI运营nio/campus · Hefei, Anhui, Chinese Mainland
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This job: posted 178 days ago

The posting

1、负责工厂产线的数字化运营支持,参与产线视觉检测、AI质检相关系统的日常运维与优化; 2、协助新工厂数字化项目实施,参与产线视觉检测方案的落地、调试与迭代; 3、协助工业数据治理,对产线视觉采集数据进行清洗、标注与质量管控,支撑模型迭代;协助工业数字化模型构建,参与AI视觉算法(目标检测、图像分类、缺陷识别等)的训练、部署与验证; 4、配合产线、工艺团队,解决实际生产中的视觉检测、AI识别类问题,提升产线自动化率与良品率。

1. 基础背景 本科及以上学历,计算机科学与技术、软件工程、人工智能、自动化、数据科学、智能制造、光学工程等相关专业的应届毕业生优先; 2. 核心技术能力(开发+数据+视觉) 编程开发能力:熟练使用Python,了解C#/C++等工业开发语言;有完整的代码开发经验,能独立完成脚本/工具的编写、调试与文档输出;熟悉Git版本管理、开发流程优先。 AI视觉算法基础:了解OpenCV、YOLO等常用计算机视觉算法,有目标检测、图像分类、缺陷识别、OCR等相关课程设计/竞赛/项目经验优先;熟悉PyTorch/TensorFlow等深度学习框架,能完成简单模型的训练、优化与部署。 数据处理能力:熟练使用SQL进行数据查询与分析,掌握Pandas、Numpy等数据处理工具;了解数据标注、数据清洗、数据治理的基本流程,能协助完成工业产线数据的标准化与质量管控。 工业场景适配:了解MES、SCADA等工业系统基础概念,有智能制造、工业互联网、产线自动化相关项目/实习经验者优先。 3. 综合素质 具备良好的跨部门沟通能力,能主动配合产线、工艺、质量团队推进项目落地; 学习能力强,愿意快速学习汽车制造工艺、工业软件、产线自动化相关知识; 做事严谨细致,对数据质量、模型精度有高要求,有较强的责任心与抗压能力。

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