微软Sr Cloud Solution Architect -- Cloud & AI Apps
社招全职Customer Success地点:上海状态: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 8+ 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: • Master’s degree or above in Computer Science, Artificial Intelligence, or related fields (PhD preferred). • Research background in Machine Vision, NLP, or related AI domains. • 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, co…
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包括英文材料
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
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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