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SASAP

Working Student - AI Data Engineer(m/w/x)

Berlin
Part-timeWorking StudentWith Home Office
AI/ML
Data Science

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.

Requirements

  • 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

Tasks

  • 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

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • SciPy
  • NumPy
  • pandas
  • SQL

Benefits

Learning & Development

  • Constant learning
  • Skill growth

Informal Culture

  • Culture of inclusion

Healthcare & Fitness

  • Focus on health and well-being

Flexible Working

  • Flexible working models

Ergonomic Workplace

  • Accessibility accommodations
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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