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Working Student - AI Data Engineer(m/w/x)
Developing Foundation Models on structured business data for enterprise software infrastructure. Master's enrollment in CS/AI and strong Python skills with large datasets required; hands-on SQL experience a plus. Flexible working models.
Anforderungen
- Enrollment in master's course (computer science, AI, or relevant disciplines)
- Strong Python coding skills and experience with frameworks (SciPy, NumPy, pandas, or similar)
- Diligent and thorough working style
- Experience with large datasets and data pipelines
- Hands-on SQL experience (plus)
- Experience with data infrastructures (plus)
- Experience with data and error analysis
- Ability to clearly present core insights
- Strong communication and collaboration skills
- Ability to work effectively in cross-cultural teams
Aufgaben
- Help develop Foundation Models on structured business data
- Assist with data extraction, acquisition, and storage
- Assist with data transformation, annotation, and curation
- Work independently on internal infrastructure
- Build and improve data assets for the team
- Collaborate with Data Scientists
- Understand Data Scientists' data needs
- Supply Data Scientists with appropriate data
- Work with internal partners
- Facilitate effective communication and collaboration
- Participate in developing data infrastructure, tools, and systems
- Participate in maintaining data infrastructure, tools, and systems
- Contribute to continuous improvement of data management practices
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SciPy
- NumPy
- pandas
- SQL
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
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Working Student - AI Data Engineer(m/w/x)
Developing Foundation Models on structured business data for enterprise software infrastructure. Master's enrollment in CS/AI and strong Python skills with large datasets required; hands-on SQL experience a plus. Flexible working models.
Anforderungen
- Enrollment in master's course (computer science, AI, or relevant disciplines)
- Strong Python coding skills and experience with frameworks (SciPy, NumPy, pandas, or similar)
- Diligent and thorough working style
- Experience with large datasets and data pipelines
- Hands-on SQL experience (plus)
- Experience with data infrastructures (plus)
- Experience with data and error analysis
- Ability to clearly present core insights
- Strong communication and collaboration skills
- Ability to work effectively in cross-cultural teams
Aufgaben
- Help develop Foundation Models on structured business data
- Assist with data extraction, acquisition, and storage
- Assist with data transformation, annotation, and curation
- Work independently on internal infrastructure
- Build and improve data assets for the team
- Collaborate with Data Scientists
- Understand Data Scientists' data needs
- Supply Data Scientists with appropriate data
- Work with internal partners
- Facilitate effective communication and collaboration
- Participate in developing data infrastructure, tools, and systems
- Participate in maintaining data infrastructure, tools, and systems
- Contribute to continuous improvement of data management practices
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SciPy
- NumPy
- pandas
- SQL
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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