
地平线【地瓜机器人】AI训练平台交付工程师|混合云方向
社招全职2年以上软件序列地点:北京状态:招聘
工作描述
任职要求 1. 本科及以上学历,计算机、软件工程、人工智能、通信、自动化等相关专业优先。 2. 具备 2年以上技术支持、项目交付、测试工程师、运维工程师或AI平台相关工作经验,有企业客户交付经验优先。 3. 熟悉 Linux 基础操作,能够进行常见命令操作、日志查看、进程排查、网络连通性检查、磁盘与资源使用分析。 4. 熟悉云平台或容器化相关技术,了解 Kubernetes、Docker、镜像、Pod、Namespace、GPU资源调度等概念者优先。 5. 了解AI模型训练基本流程,熟悉 PyTorch、TensorFlow、Jupyter、Notebook、训练脚本、依赖环境、数据集、模型输出等常见使用场景。 6. 具备一定的问题排查能力,能够根据报错日志、平台状态、资源使用情况定位常见问题,并推动问题解决。 7. 具备测试工程师基础能力,能够编写测试用例、执行测试、提交缺陷、跟踪缺陷修复,并输出测试报告。 8. 具备良好的客户沟通能力和服务意识,能够清晰理解客户需求,并用专业、耐心的方式解决客户问题。 9. 具备较强的文档编写能力,能够沉淀交付方案、操作手册、FAQ、测试报告等文档。 10. 工作认真负责,具备较强的执行力、学习能力和跨团队协作能力,能适应一定程度的客户现场或远程交付工作。 加分项 1. 有混合云、私有云、公有云、AI算力平台、GPU集群、MLO…
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包括英文材料
学历+
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
Kubernetes+
https://kubernetes.io/docs/tutorials/kubernetes-basics/
This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system.
https://kubernetes.io/zh-cn/docs/tutorials/kubernetes-basics/
本教程介绍 Kubernetes 集群编排系统的基础知识。每个模块包含关于 Kubernetes 主要特性和概念的一些背景信息,还包括一个在线教程供你学习。
https://www.youtube.com/watch?v=s_o8dwzRlu4
Hands-On Kubernetes Tutorial | Learn Kubernetes in 1 Hour - Kubernetes Course for Beginners
https://www.youtube.com/watch?v=X48VuDVv0do
Full Kubernetes Tutorial | Kubernetes Course | Hands-on course with a lot of demos
Docker+
https://www.youtube.com/watch?v=GFgJkfScVNU
Master Docker in one course; learn about images and containers on Docker Hub, running multiple containers with Docker Compose, automating workflows with Docker Compose Watch, and much more. 🐳
https://www.youtube.com/watch?v=kTp5xUtcalw
Learn how to use Docker and Kubernetes in this complete hand-on course for beginners.
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.
Jupyter+
https://www.dataquest.io/blog/jupyter-notebook-tutorial/
Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects.
https://www.youtube.com/watch?v=2WL-XTl2QYI
This Jupyter Notebook Tutorial for Beginners with Python provides a set up, introduction, and quick start for Jupyter Notebooks.
[英文] 📺Jupyter Notebook Complete Beginner Guide - From Jupyter to Jupyterlab, Google Colab and Kaggle!
https://www.youtube.com/watch?v=5pf0_bpNbkw
Jupyter notebooks and python notebooks are an important tool for data science.
脚本+
[英文] Scripting language
https://en.wikipedia.org/wiki/Scripting_language
https://zhuanlan.zhihu.com/p/571097954
一个脚本通常是解释执行而非编译。脚本语言通常都有简单、易学、易用的特性,目的就是希望能让程序员快速完成程序的编写工作。
Volcano+
[英文] Tutorials
https://volcano.sh/en/docs/tutorials/
This section provides guidance to help you quickly get started with Volcano, from deploying a basic Volcano Job/Deployment, to integrating with Volcano Queues
Kubeflow+
https://huggingface.co/blog/turhancan97/building-your-first-kubeflow-pipeline
Kubeflow is an open-source platform designed to be end-to-end, facilitating each step of the Machine Learning (ML) workflow.
https://www.kubeflow.org/docs/started/introduction/
Kubeflow is the foundation of tools for AI Platforms on Kubernetes.
https://www.youtube.com/watch?v=6wWdNg0GMV4
In this walk-through I will show you how I've created a machine learning pipeline with Kubeflow 1.5 using Juypter Notebooks, Kubeflow pipelines, MinIO and Kserve.
还有更多 •••
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