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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.
Requirements
- 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
Tasks
- 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
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Scikit-learn
- PyTorch
- TensorFlow
- NLP
- LLMs
- Computer Vision
- OCR
Benefits
Flexible Working
- Flexitime
- Flexible working arrangements
Informal Culture
- International environment
Career Advancement
- Global networking opportunities
Diverse Work
- Modern and diversified technologies
Team Events
- Weekly team meetings
Other Benefits
- 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.
Requirements
- 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
Tasks
- 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
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Scikit-learn
- PyTorch
- TensorFlow
- NLP
- LLMs
- Computer Vision
- OCR
Benefits
Flexible Working
- Flexitime
- Flexible working arrangements
Informal Culture
- International environment
Career Advancement
- Global networking opportunities
Diverse Work
- Modern and diversified technologies
Team Events
- Weekly team meetings
Other Benefits
- Generation Airbus Community membership
About the Company
AIRBUS HELICOPTERS DEUTSCHLAND GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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