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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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