Digitalization Internship Trainee Program_AI Engineer Intern

Job Description

Job overview:
The focus of AI engineer is to explore the trend of market development, combine Siemens products, design and deliver market expected AI solutions and related value propositions, and cooperate with business departments to show the unique role Siemens can play.

1) 深度学习前沿人工智能技术的发展方向。
Deep learning is the development direction of advanced artificial intelligence technology.
2) 结合西门子产品,探索及挖掘AI相关技术解决实际问题的方案。
Combined with Siemens products, explore and mine AI related technologies to solve practical problems.
3) 构建深度学习平台的选型,框架搭建、相关算法的实现开发及优化。
Build deep learning platform selection, framework construction, related algorithm development and optimization.

Position requirements:
1) 硕士及以上学历,计算机,机器学习,模式识别,数学等相关专业。 
Master's degree or above, major in computer, machine learning, pattern recognition, mathematics, etc.
2) 精通常见机器学习算法相关知识,了解深度学习知识和算法,有该领域算法的研究或开发经验。
Proficient in common machine learning algorithm related knowledge, deep learning knowledge and algorithms, algorithm research or development experience in this field.
3) 熟悉大数据知识,包括文件存储、大数据架构、数据处理等。 
Familiar with big data knowledge, including file storage, big data architecture, data processing, etc.
4) 具有较好的编程能力,至少熟悉一种主流编程语言 如Python, C++, Java等。 
Good programming ability, familiar with at least one mainstream programming language, such as python, C + +, Java, etc.
5) 具有预测性维护算法开发经验者优先。 
Experience in predictive maintenance algorithm development is preferred.
6) 具备良好的英文文献、技术文档的读写能力。 
Good ability to read and write English documents and technical documents.
7) 具有很强的自学能力、分析能力及解决问题能力、良好的沟通、协调、组织能力。
Strong self-study ability, analytical ability and problem-solving ability, good communication, coordination and organization ability

At Siemens, we value diversity as the inclusion of and collaboration of different thinking, background, experience, expertise and individual qualities across all organization levels and dimensions. We encourage and support our employees to develop their personal skills and strengths, regardless of gender identity, nationality, age, religious beliefs etc.. We believe diversity strengthens our innovative capacity, unleashes the potential of Siemens’ employees and thereby directly contributes to our business success.

Organization: Smart Infrastructure

Company: Siemens Electrical Apparatus Ltd., Suzhou

Experience Level: Student (Not Yet Graduated)

Job Type: Part-time

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