阿里巴巴数据技术及产品部-AI数据工程-杭州
社招全职2年以上技术类-数据地点：杭州状态：招聘
工作描述
任职要求 1、具备AI+数据双栈能力：精通Python，熟悉SQL/Shell；理解LLM、音频/视频模型、多模态模型等基础原理；具有大模型数据构造、清洗、合成或质量评估相关实践经验。 2、多模态数据能力：熟悉图像、视频或音频中的任一模态的特征工程、理解/分类/识别算法或质量建模方法；具备深度学习模型训练实践（PyTorch/TensorFlow）。 3、数据工程基础扎实：熟悉主流大数据平台（如 Spark/Flink/MaxCompute/Hadoop）；具备 ETL、数据建模、数据 Pipeline 或数据仓库建设经验。 4、数据治理意识：理解元数据、数据质量、数据血缘、数据标准等治理理念；有数据资产体系或治理平台建设经验者优先。 5、AI Native 工作流思维：熟悉 Agent、LLM 工具链，对如何将 LLM 融入数据生产、数据分析、…
登录查看完整工作描述
微信扫码，1秒登录
包括英文材料
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
SQL+
https://liaoxuefeng.com/books/sql/introduction/index.html
什么是SQL？简单地说，SQL就是访问和处理关系数据库的计算机标准语言。
https://sqlbolt.com/
Learn SQL with simple, interactive exercises.
https://www.youtube.com/watch?v=p3qvj9hO_Bo
In this video we will cover everything you need to know about SQL in only 60 minutes.
Bash+
[英文] The Bash Guide
https://guide.bash.academy/
A quality-driven guide through the shell's many features.
https://www.youtube.com/watch?v=tK9Oc6AEnR4
Understanding how to use bash scripting will enhance your productivity by automating tasks, streamlining processes, and making your workflow more efficient.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
特征工程+
https://www.ibm.com/think/topics/feature-engineering
Feature engineering preprocesses raw data into a machine-readable format. It optimizes ML model performance by transforming and selecting relevant features.
https://www.kaggle.com/learn/feature-engineering
Better features make better models. Discover how to get the most out of your data.
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具，在灵活性、可读性和性能上都具备相当的优势，近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
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.
还有更多 •••
相关职位
社招3年以上技术类-开发
学历与经验：硕士及以上学历，计算机、人工智能、数据科学等相关专业，3 年以上后端或数据开发经验 核心技术： 1.精通 Python、SQL，能独立完成数据清洗、质检、分析及可视化，了解多模态数据的基本
更新于 2026-09-09杭州
社招5年以上技术-基础平台
1. 拥有计算机科学、信息技术或相关领域的硕士或博士学位。 2. 具备大规模分布式系统研发经验，熟悉spark/flink等大数据系统，熟悉Kubernetes架构和生态，熟悉Docker/Conta
更新于 2026-04-01杭州
社招2年以上
1、AI + 数据双栈能力：精通 Python，熟悉 SQL/Shell；理解 LLM、音频/视频模型、多模态模型等基础原理；具有大模型数据构造、清洗、合成或质量评估相关实践经验； 2、多模态数据能力
更新于 2026-08-11北京|杭州
社招2年以上技术类-开发
1、具备AI+数据双栈能力：精通Python，熟悉SQL及大数据处理； 2、具备一定的机器学习&深度学习算法基础，理解图像生成模型的基础原理，对该领域有强烈的兴趣； 3、数据工程基础扎实：熟悉主流大数
更新于 2026-08-26杭州