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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
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- AIRBUS HELICOPTERS DEUTSCHLAND GmbHVollzeitPraktikumnur vor OrtDonauwörth
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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
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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- AIRBUS HELICOPTERS DEUTSCHLAND GmbH
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