岗位大厅/Internship/AI & Digital Transformation Internship

(未知名) · 5天前 · 来源 公开招聘平台

AI & Digital Transformation Internship

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实习Internship
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⏳ 岗位入库已 0 天

🛡 申请链接 2026-11-09 核验有效

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ICT部门的人工智能与数字化转型实习<br>日期:2026年11月6日<br>Oxfam Novib的ICT部门正在对其数字环境进行现代化改造,并加强数据和技术对我们使命的支持方式。在进行数字化转型(我们正在进行)的同时,我们正在利用Microsoft Azure及其他环境和其他经批准的工具,探索负责任的人工智能与自动化。我们的目标是减少……

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必备技能

AIAPIAutomationAzureData QualityDevOpsProof of ConceptPrototypingPython安全

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

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职位描述 · 原文

AI & Digital Transformation Internship in the ICT Unit Date: 6 Nov 2026 The ICT Unit at Oxfam Novib is modernizing its digital landscape and strengthening how data and technology support our mission. Alongside digital transformation (which we are undergoing), we are exploring responsible AI and automation using our Microsoft Azure and other environment and other approved tools. Our aim is to reduce manual work, improve access to trusted information and enable better decision-making. This internship will support our digital transformation by exploring, prototyping and testing practical AI solutions. Working with ICT, Data, DevOps and business colleagues, you will investigate use cases such as document search, information extraction, data quality and workflow automation. You will learn from experienced colleagues and work with approved or non-sensitive test data under supervision. Key Tasks - Explore AI opportunities: Work with teams to identify repetitive tasks and realistic AI use cases in finance, programs, knowledge management and ICT. - Develop AI prototypes: Help build small proof-of-concept solutions using Python, APIs and suitable Microsoft Azure AI services under supervision. - Improve knowledge access: Explore AI-assisted search, document classification and summarization using approved tools and content. - Connect data and AI: Support controlled use of data from approved sources and integrations through the Microsoft Azure environment. - Support automation: Prototype simple workflows for information extraction, validation or routing with scripts or automation tools. - Test AI outputs: Evaluate accuracy, usefulness, reliability and limitations; identify incorrect results, bias or other risks. - Apply responsible AI practices: Follow data protection, confidentiality, security and human-review requirements when designing and testing solutions. - Document and share findings: Maintain clear technical notes, test results and r...

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公司 · Company

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