Dein persönlicher KI-Karriere-Agent
Internship in Machine Learning & Multimodal AI(m/w/x)
Benchmarking TF-IDF and Random Forest models against LLM architectures for text and technical drawing analysis. Proficiency in Deep Learning frameworks and NLP experience required. 35-hour work week with flexitime.
Anforderungen
- Enrolled student in Computer Science, Data Science, Mathematics, Physics, or comparable field
- Knowledge of Machine Learning and Deep Learning frameworks
- Experience with NLP, LLMs, and ideally Computer Vision
- Strong analytical skills and proactive approach
- Proficient English skills and advantageous German knowledge
- Student experience level
Aufgaben
- Analyze current TF-IDF and Random Forest models
- Benchmark models against state-of-the-art Deep Learning and LLM architectures
- Design and prototype multimodal models for text and technical drawings
- Process metadata within multimodal AI architectures
- Define metrics to increase accuracy for export control sensitivities
- Implement Proof-of-Concepts for new AI solutions
- Integrate prototypes into the existing AI tool
- Coordinate with Data Scientists and Engineers
- Collaborate with Legal Experts to ensure regulatory compliance
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Scikit-learn
- PyTorch
- TensorFlow
- NLP
- LLMs
- Computer Vision
- OCR
Benefits
Flexibles Arbeiten
- Flexitime
- Flexible working arrangements
Lockere Unternehmenskultur
- International environment
Karriere- und Weiterentwicklung
- Global networking opportunities
Abwechslungsreiche Aufgaben
- Modern and diversified technologies
Team Events & Ausflüge
- Weekly team meetings
Sonstige Vorteile
- Generation Airbus Community membership
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Internship in Machine Learning & Multimodal AI(m/w/x)
Benchmarking TF-IDF and Random Forest models against LLM architectures for text and technical drawing analysis. Proficiency in Deep Learning frameworks and NLP experience required. 35-hour work week with flexitime.
Anforderungen
- Enrolled student in Computer Science, Data Science, Mathematics, Physics, or comparable field
- Knowledge of Machine Learning and Deep Learning frameworks
- Experience with NLP, LLMs, and ideally Computer Vision
- Strong analytical skills and proactive approach
- Proficient English skills and advantageous German knowledge
- Student experience level
Aufgaben
- Analyze current TF-IDF and Random Forest models
- Benchmark models against state-of-the-art Deep Learning and LLM architectures
- Design and prototype multimodal models for text and technical drawings
- Process metadata within multimodal AI architectures
- Define metrics to increase accuracy for export control sensitivities
- Implement Proof-of-Concepts for new AI solutions
- Integrate prototypes into the existing AI tool
- Coordinate with Data Scientists and Engineers
- Collaborate with Legal Experts to ensure regulatory compliance
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Scikit-learn
- PyTorch
- TensorFlow
- NLP
- LLMs
- Computer Vision
- OCR
Benefits
Flexibles Arbeiten
- Flexitime
- Flexible working arrangements
Lockere Unternehmenskultur
- International environment
Karriere- und Weiterentwicklung
- Global networking opportunities
Abwechslungsreiche Aufgaben
- Modern and diversified technologies
Team Events & Ausflüge
- Weekly team meetings
Sonstige Vorteile
- Generation Airbus Community membership
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
AIRBUS HELICOPTERS DEUTSCHLAND GmbH
Branche
Aerospace
Beschreibung
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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