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Intern within Data Science and AI(m/w/x)
Researching LLMs and RAG architectures, building and evaluating models with Python. Ontology engineering and deep learning frameworks knowledge required. Final thesis opportunity, international environment.
Requirements
- Studying data science, AI, computer science, software engineering or similar
- Data manipulation and analytics in Python
- Ontology Engineering
- Deep learning and LLMs frameworks
- Software and big data platform architecture / RAG
- Space business comprehension
- Curiosity, proactivity, dedication to deliver
- Good presentation skills, ability to showcase work
- Enrolled full-time student in data science, AI, computer science, software engineering or equivalent
Tasks
- Contribute to state-of-the-art research on LLMs and RAG architectures
- Understand user needs and define required building blocks
- Build and evaluate models and automate the process
- Develop solutions using Python
- Integrate solutions into data platforms
- Contribute to product roadmaps and internal R&D in AI
- Implement solutions using Python
- Integrate solutions into the platform
- Test solutions with subject matter experts
- Conduct successive iterations based on feedback
Education
- Currently in higher education
Languages
- English – Fluent
- German – Business Fluent
Tools & Technologies
- Python
- Ontology Engineering
- Deep learning
- LLMs
- tensorflow
- pytorch
- transformers
- langchain
- Big data platform architecture
- RAG
- vectorial databases
- agentic workflows
Benefits
Flexible Working
- Work-life balance
- Flexitime
- Flexible working arrangements
Other Benefits
- Final thesis possible
- Part of weekly team meetings
Informal Culture
- International environment
Career Advancement
- Global networking opportunities
Modern Equipment
- Work with modern technologies
Team Events
- Participate in Generation Airbus Community
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Intern within Data Science and AI(m/w/x)
Researching LLMs and RAG architectures, building and evaluating models with Python. Ontology engineering and deep learning frameworks knowledge required. Final thesis opportunity, international environment.
Requirements
- Studying data science, AI, computer science, software engineering or similar
- Data manipulation and analytics in Python
- Ontology Engineering
- Deep learning and LLMs frameworks
- Software and big data platform architecture / RAG
- Space business comprehension
- Curiosity, proactivity, dedication to deliver
- Good presentation skills, ability to showcase work
- Enrolled full-time student in data science, AI, computer science, software engineering or equivalent
Tasks
- Contribute to state-of-the-art research on LLMs and RAG architectures
- Understand user needs and define required building blocks
- Build and evaluate models and automate the process
- Develop solutions using Python
- Integrate solutions into data platforms
- Contribute to product roadmaps and internal R&D in AI
- Implement solutions using Python
- Integrate solutions into the platform
- Test solutions with subject matter experts
- Conduct successive iterations based on feedback
Education
- Currently in higher education
Languages
- English – Fluent
- German – Business Fluent
Tools & Technologies
- Python
- Ontology Engineering
- Deep learning
- LLMs
- tensorflow
- pytorch
- transformers
- langchain
- Big data platform architecture
- RAG
- vectorial databases
- agentic workflows
Benefits
Flexible Working
- Work-life balance
- Flexitime
- Flexible working arrangements
Other Benefits
- Final thesis possible
- Part of weekly team meetings
Informal Culture
- International environment
Career Advancement
- Global networking opportunities
Modern Equipment
- Work with modern technologies
Team Events
- Participate in Generation Airbus Community
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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