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Master Thesis in the field of Airbus Customer Services TechData(m/w/x)
Researching LLM Agent systems, building proof-of-concept for aerospace TechData processes. Enrolled engineering student with data analytics and Python experience required; industrial sector experience a plus. 35-hour week, international environment, global networking opportunities.
Requirements
- Enrolled student in engineering or related field
- Experience in data analytics and Python
- Interest in LLMs and AI
- Basic knowledge of LLMs and applications
- Advantageous industrial or production sector experience
- Proficiency in Google tools as a plus
- Analytical thinking and structured working methods
- Problem solving mentality
- Customer orientation and open-minded teamwork
- Fluent English and preferred German skills
- Compliance awareness and commitment to integrity
Tasks
- Research current LLM Agent system science
- Analyze existing TechData processes
- Identify use cases with subject matter experts
- Build a functional proof of concept
- Support the project team during development
- Contribute to transnational product improvement projects
- Adapt daily work to meet organizational requests
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- Large Language Models
- Artificial Intelligence
- Google tools
Benefits
Flexible Working
- Flexitime
- Mobile working
- Flexible working arrangements
Informal Culture
- International environment
- Full team integration
Career Advancement
- Global networking opportunities
Diverse Work
- Modern and diversified technologies
Team Events
- Weekly team meetings
Social Impact
- Generation Airbus Community participation
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Master Thesis in the field of Airbus Customer Services TechData(m/w/x)
Researching LLM Agent systems, building proof-of-concept for aerospace TechData processes. Enrolled engineering student with data analytics and Python experience required; industrial sector experience a plus. 35-hour week, international environment, global networking opportunities.
Requirements
- Enrolled student in engineering or related field
- Experience in data analytics and Python
- Interest in LLMs and AI
- Basic knowledge of LLMs and applications
- Advantageous industrial or production sector experience
- Proficiency in Google tools as a plus
- Analytical thinking and structured working methods
- Problem solving mentality
- Customer orientation and open-minded teamwork
- Fluent English and preferred German skills
- Compliance awareness and commitment to integrity
Tasks
- Research current LLM Agent system science
- Analyze existing TechData processes
- Identify use cases with subject matter experts
- Build a functional proof of concept
- Support the project team during development
- Contribute to transnational product improvement projects
- Adapt daily work to meet organizational requests
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- Large Language Models
- Artificial Intelligence
- Google tools
Benefits
Flexible Working
- Flexitime
- Mobile working
- Flexible working arrangements
Informal Culture
- International environment
- Full team integration
Career Advancement
- Global networking opportunities
Diverse Work
- Modern and diversified technologies
Team Events
- Weekly team meetings
Social Impact
- Generation Airbus Community participation
About the Company
Airbus Operations GmbH
Industry
Aerospace
Description
Das Unternehmen setzt sich für Vielfalt und ein inklusives Arbeitsumfeld ein.
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