Siemens AG
Working Student- Low Code/AI for Manufacturing Industries(m/w/x)
Part-timeWorking StudentWith Homeoffice
München
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SISiemens AG
Working Student Leveraging Generative AI along the Software Development Lifecycle(m/w/x)
Garching bei München
Part-timeWorking StudentWith Home Office
AI/ML
Data Science
Nejo AI Summary
Designing generative AI solutions for software engineering efficiency at Siemens Foundational Technology. Hands-on LLM, prompt engineering, or fine-tuning experience required. Collaboration with senior AI developers, research experience, and Python proficiency.
Requirements
- Master's program enrollment in Data Science, CS, AI, ML, or related field
- Proficiency in Python; Java or C++ knowledge is a plus
- Hands-on experience with LLMs, prompt engineering, vector databases, or fine-tuning
- Familiarity with ML frameworks (TensorFlow, PyTorch) and scikit-learn
- Research experience and strong coding skills
- Strong analytical and problem-solving skills, attention to detail, teamwork, and communication abilities
- Very good written and oral English skills (C1); German skills advantageous
Tasks
- Support team in designing generative AI solutions
- Collaborate with senior AI developers
- Assist in data collection, preprocessing, and analysis
- Implement and optimize machine learning algorithms
- Participate in code reviews, testing, and debugging
- Document code, processes, and results
- Stay updated on recent advancements in generative AI
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Java
- C++
- TensorFlow
- PyTorch
- scikit-learn
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Siemens AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SISiemens AG
Working Student Leveraging Generative AI along the Software Development Lifecycle(m/w/x)
Garching bei München
Part-timeWorking StudentWith Home Office
AI/ML
Data Science
Nejo AI Summary
Designing generative AI solutions for software engineering efficiency at Siemens Foundational Technology. Hands-on LLM, prompt engineering, or fine-tuning experience required. Collaboration with senior AI developers, research experience, and Python proficiency.
Requirements
- Master's program enrollment in Data Science, CS, AI, ML, or related field
- Proficiency in Python; Java or C++ knowledge is a plus
- Hands-on experience with LLMs, prompt engineering, vector databases, or fine-tuning
- Familiarity with ML frameworks (TensorFlow, PyTorch) and scikit-learn
- Research experience and strong coding skills
- Strong analytical and problem-solving skills, attention to detail, teamwork, and communication abilities
- Very good written and oral English skills (C1); German skills advantageous
Tasks
- Support team in designing generative AI solutions
- Collaborate with senior AI developers
- Assist in data collection, preprocessing, and analysis
- Implement and optimize machine learning algorithms
- Participate in code reviews, testing, and debugging
- Document code, processes, and results
- Stay updated on recent advancements in generative AI
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Java
- C++
- TensorFlow
- PyTorch
- scikit-learn
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Siemens AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Siemens AG
Industry
IT
Description
Das Unternehmen entwickelt Netzwerke, die Städte mit Licht und Wärme versorgen und ist in der Automatisierung und Digitalisierung der Prozess- und Fertigungsindustrie tätig.
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