微软Cloud Solution Architect--Cloud & AI Apps
社招全职Customer Success地点:深圳 | 广州状态:停招♡ 收藏
工作描述
任职要求 • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting• OR equivalent experience Preferred: • 5+ years of professional experience in AI development and applied research. • Strong knowledge of Transformer architectures, Generative AI (GenAI), and Agentic AI. • Hands-on experience with Retrieval-Augmented Generation (RAG) and agent-based AI applications. • Proficiency in programming with Python and Java. • Familiarity with containerization (Docker), Kubernetes (K8s), and cloud-native environments. • Proven ability to design, develop, and deploy production-grade AI solutions. • Strong collaboration and communication skills, with experience working in cross-functional teams. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical con…
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包括英文材料
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
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