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中易云(北京)物联网科技有限责任公司 Tech Stack

IoT platform with AI models for smart city and restaurant operations

Environmental Services 北京市, 北京市

中易云 operates an IoT platform layered with machine learning models (PyTorch, TensorFlow, GPT, LLAMA) targeting smart city and restaurant verticals. The stack—Python, Java, .NET, Spring, MySQL on Linux—reflects a mature backend with emerging AI capabilities. Hiring remains weighted toward sales (4 roles) over engineering (2), despite active work on model performance and legacy code refactoring, suggesting a sales-led growth phase while technical debt accumulates.

Tech Stack 19 technologies

Core StackPython Java PyTorch TensorFlow SAS .NET Spring C# MySQL Linux Transformer GPT LLAMA Excel SPSS R SQL ERwin Spring Boot

What 中易云(北京)物联网科技有限责任公司 Is Building

Challenges

  • Model performance and accuracy
  • Legacy code refactoring
  • Backend code optimization

Active Projects

  • Restaurant industry ai large model
  • Customized large model for specific scenarios
  • Smart city platform
  • Iot platform

Hiring Activity

Minimal8 roles · 0 in 30d

Department

Sales
4
Data
2
Engineering
2

Seniority

Mid
5
Junior
2
Senior
1
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About 中易云(北京)物联网科技有限责任公司

中易云 develops an IoT platform serving smart city infrastructure and restaurant industry automation. The company builds custom large language models for vertical-specific scenarios, operating a technical stack that spans Python and Java backends, relational data storage (MySQL), and ML frameworks (PyTorch, TensorFlow). Current focus areas include a restaurant-industry AI model, smart city platform deployment, and an IoT connectivity layer. Headquarters is in Beijing, with all hiring activity concentrated in China.

Headquarters北京市, 北京市
Hiring MarketsChina

Frequently Asked Questions

What tech stack does 中易云 use?

Python, Java, PyTorch, TensorFlow, GPT, LLAMA for ML; .NET, Spring, Spring Boot for backend; MySQL, SQL for data; Linux for infrastructure.

What is 中易云 working on?

Restaurant industry AI large model, smart city platform, customized LLMs for specific scenarios, and an IoT connectivity platform.

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