西门子Siemens Section Manager of AI Competence Center AI能力中心 部门经理
社招全职10年以上产品管理地点:上海 | 苏州 | 北京状态:停招♡ 收藏
工作描述
任职要求 1. Experience Requirements • 8+ years in AI algorithm R&D, AI product management, or industrial software. Priority given to customers with proven track records in manufacturing (discrete/process manufacturing) deployments, or those who have led AI products through the full lifecycle. • Proficient in at least one programming language; familiar with mainstream AI frameworks (e.g., TensorFlow, PyTorch). Strong foundation in ML/DL theory (e.g., CV/NLP/predictive maintenance algorithms) and practical knowledge of applying LLMs in industrial settings. Adept at statistical methods and data analysis tools. • Deep understanding of discrete (e.g., automotive, electronics) or process (e.g., chemicals, energy) manufacturing—core pain points, digital transformation needs, and the ability to translate technical jargon into customer-perceptible business value. 2. Skills & Traits • Exceptional strategic thinking and business acumen. Strong results-driven mindset with a knack for crafting actionable plans to drive goals forward efficiently. • Proven ability to motivate teams, unlock potential, and build high-performing tech squads through goal-setting, coaching, and incentives. • Outstanding cross-functional skills to align customer needs (sales/pre-sales), HQ tech teams, and internal R&D resources. Adept at articulating product value and fostering consensus. • Fluent in both written and spoken English and Chinese. …
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包括英文材料
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/
R+
[英文] R Tutorial
https://www.w3schools.com/r/
R is often used for statistical computing and graphical presentation to analyze and visualize data.
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