
美图AI 应用开发实习生 / Summer Intern- AI Application Development(厦门)
校招全职研发类地点:厦门状态:招聘
工作描述
任职要求 - Bachelor's degree or above in CS, Big Data, AI, Statistics, Mathematics, or a related field - Familiarity with big data frameworks such as Hadoop, Spark, or Flink - Proficiency in Python or Java; able to develop and debug code independently - Solid ML foundations; familiarity with common algorithms (Decision Trees, Random Forest, SVM, Logistic Regression, K-Means, etc.) - Familiarity with AI application development concepts, including RAG stacks (vector databases, LangChain, etc.) ▸ Bonus Points - Prior internship or project experience in big data or AI application development - Comfortable using AI tools to enhance development productivity 工作职责 岗位概述 协助团队进行 AI 应用开发与大数据平台…
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包括英文材料
Hadoop+
https://www.runoob.com/w3cnote/hadoop-tutorial.html
Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持,它允许使用简单的编程模型跨计算机群集分布式处理大型数据集,并且支持在单台计算机到几千台计算机之间进行扩展。
[英文] Hadoop Tutorial
https://www.tutorialspoint.com/hadoop/index.htm
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
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