Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fließend
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- Ontology Engineering
- Deep learning
- LLMs
- tensorflow
- pytorch
- transformers
- langchain
- Big data platform architecture
- RAG
- vectorial databases
- agentic workflows
Benefits
Flexibles Arbeiten
- Work-life balance
- Flexitime
- Flexible working arrangements
Sonstige Vorteile
- Final thesis possible
- Part of weekly team meetings
Lockere Unternehmenskultur
- International environment
Karriere- und Weiterentwicklung
- Global networking opportunities
Moderne Technikausstattung
- Work with modern technologies
Team Events & Ausflüge
- 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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fließend
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- Ontology Engineering
- Deep learning
- LLMs
- tensorflow
- pytorch
- transformers
- langchain
- Big data platform architecture
- RAG
- vectorial databases
- agentic workflows
Benefits
Flexibles Arbeiten
- Work-life balance
- Flexitime
- Flexible working arrangements
Sonstige Vorteile
- Final thesis possible
- Part of weekly team meetings
Lockere Unternehmenskultur
- International environment
Karriere- und Weiterentwicklung
- Global networking opportunities
Moderne Technikausstattung
- Work with modern technologies
Team Events & Ausflüge
- Participate in Generation Airbus Community
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Airbus Defence and Space GmbH
Branche
Aerospace
Beschreibung
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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