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Internship - LLM-Based Information Extraction (m/w/x)
Automated business document understanding, transforming messy documents into structured information. Python pipeline development experience required. Mentoring by senior consultants, access to D ONE Academy.
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Anforderungen
- Enrolment in Bachelor's, Master's, or PhD programme
- Interest in at least one industry domain
- Curiosity about data value creation
- Pragmatic results-oriented attitude
- Experience with large data sets and databases
- Knowledge in relevant technologies and programming languages
- Excellent English communication skills
- Solid NLP foundations
- Working understanding of large language models
- Experience enforcing schemas on model output
- Familiarity with document parsing and OCR tooling
- Familiarity with layout-aware models
- Practical skills in annotation
- Command of extraction metrics
- Comfort working with German and English documents
- Awareness of data protection and PII handling
- Software engineering discipline
- Strive to understand client needs
- Deliver outstanding results with high business value
- Intellectual agility
- Value clever and creative team play
- Work independently and structure own progress
Aufgaben
- Work independently on automated business document understanding
- Transform messy documents into structured information
- Ensure approach holds up across domains
- Review current information extraction approaches
- Design and implement clean, modular, well-tested Python extraction pipelines
- Build annotated datasets and measure extraction quality
- Handle document variety: layouts, languages, scan quality, edge cases
- Document work and present to technical and non-technical audiences
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Low noise environment
- International team
- Freedom to shape approach
- Mentoring by senior consultants
- Access to D ONE Academy
- Expert groups
- Knowledge sharing sessions
- Working groups
- Clearly scoped topic ownership
- Frequent offsite social events
- Path to consultant role
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