Airbus Operations GmbH
Working student with Responsible AI-development und -implementation(m/w/x)
Part-timeWorking StudentWith Homeoffice
Hamburg
from 18.53 / hour
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AIAirbus Operations GmbH
Working Student - Generative Artificial Intelligence(m/w/x)
Hamburg
from 18.53 / hour
Part-timeWorking StudentWith Home Office
AI/ML
Data Science
Nejo AI Summary
Developing GenAI templates and internal libraries for commercial aircraft AI products. FastAPI experience and agentic AI frameworks familiarity preferred. 18-hour week, flexitime, and final thesis possibility.
Requirements
- Full-time student in Computer Science, Data Science, or similar fields
- Fundamental understanding of ML, DL techniques, especially Generative AI
- Very good Python coding skills
- Experience with full-stack development using FastAPI
- Familiarity with agentic AI frameworks (ADK, Langchain, or similar)
- Experience building Generative AI applications with LLMs (Gemini, ChatGPT, Claude models etc.)
- Interest in cloud technologies (GCP or AWS)
- Interest in AI safety and ethics
- Fluent written and spoken English
- Student experience level
Tasks
- Design GenAI templates, best practices, and documentation
- Implement GenAI templates, best practices, and documentation
- Improve and maintain existing internal libraries
- Refactor and abstract components for reusability and testability
- Develop and enhance command-line tools and installers for developer setup
- Write clear, concise, and comprehensive documentation
- Create how-to guides, tutorials, and architectural overviews
- Address developer toolchain bugs and feature requests
- Support a large community of GenAI Platform users
- Engage with the Airbus AI and Analytics Community
- Hold AI and Analytics Community project showcases
- Share expertise and best practices for GenAI applications
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- Deep Learning
- Generative AI
- Python
- FastAPI
- ADK
- Langchain
- LLMs
- Gemini
- ChatGPT
- Claude
- Google Cloud Platform (GCP)
- Amazon Web Services (AWS)
Benefits
Family Support
- Work-life balance
Flexible Working
- 18-hour week
- Flexitime
- Mobile working
- Flexible working arrangements
Other Benefits
- Final thesis possibility
- Valuable team member status
- Close contact with interfaces
Informal Culture
- International environment
Startup Environment
- Global networking opportunity
Diverse Work
- Modern/diversified technologies
Team Events
- Weekly team meetings
Social Impact
- Generation Airbus Community participation
Career Advancement
- Network expansion opportunity
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Operations GmbH 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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AIAirbus Operations GmbH
Working Student - Generative Artificial Intelligence(m/w/x)
Hamburg
from 18.53 / hour
Part-timeWorking StudentWith Home Office
AI/ML
Data Science
Nejo AI Summary
Developing GenAI templates and internal libraries for commercial aircraft AI products. FastAPI experience and agentic AI frameworks familiarity preferred. 18-hour week, flexitime, and final thesis possibility.
Requirements
- Full-time student in Computer Science, Data Science, or similar fields
- Fundamental understanding of ML, DL techniques, especially Generative AI
- Very good Python coding skills
- Experience with full-stack development using FastAPI
- Familiarity with agentic AI frameworks (ADK, Langchain, or similar)
- Experience building Generative AI applications with LLMs (Gemini, ChatGPT, Claude models etc.)
- Interest in cloud technologies (GCP or AWS)
- Interest in AI safety and ethics
- Fluent written and spoken English
- Student experience level
Tasks
- Design GenAI templates, best practices, and documentation
- Implement GenAI templates, best practices, and documentation
- Improve and maintain existing internal libraries
- Refactor and abstract components for reusability and testability
- Develop and enhance command-line tools and installers for developer setup
- Write clear, concise, and comprehensive documentation
- Create how-to guides, tutorials, and architectural overviews
- Address developer toolchain bugs and feature requests
- Support a large community of GenAI Platform users
- Engage with the Airbus AI and Analytics Community
- Hold AI and Analytics Community project showcases
- Share expertise and best practices for GenAI applications
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- Deep Learning
- Generative AI
- Python
- FastAPI
- ADK
- Langchain
- LLMs
- Gemini
- ChatGPT
- Claude
- Google Cloud Platform (GCP)
- Amazon Web Services (AWS)
Benefits
Family Support
- Work-life balance
Flexible Working
- 18-hour week
- Flexitime
- Mobile working
- Flexible working arrangements
Other Benefits
- Final thesis possibility
- Valuable team member status
- Close contact with interfaces
Informal Culture
- International environment
Startup Environment
- Global networking opportunity
Diverse Work
- Modern/diversified technologies
Team Events
- Weekly team meetings
Social Impact
- Generation Airbus Community participation
Career Advancement
- Network expansion opportunity
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Operations GmbH 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Airbus Operations GmbH
Industry
Aerospace
Description
Das Unternehmen setzt sich für Vielfalt und ein inklusives Arbeitsumfeld ein.
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