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SASAP

AI Data Lead - SAP-RPT Model Family(m/w/x)

Garching bei München
Full-timeWith Home OfficeSenior
AI/ML

Leading data strategy, pre-training, and evaluation for machine learning models at a global software provider serving 400k+ customers. 7+ years in high-scale data environments and profound SAP relational data understanding required. Flexible working models.

Requirements

  • PhD, Master’s degree in Computer Science, AI, or relevant field
  • 7+ years of professional experience in high-scale data environments
  • Track record of leading large-scale technical projects
  • Profound understanding of SAP’s relational business data
  • Proficiency in navigating semantic models like VDM, CDS, OData
  • Understanding of complex business logic and relational schemas
  • Experience with high-performance databases and SAP’s data stack
  • Experience with development of cloud-native pipelines
  • Strong Python skills
  • Ideally exposure to Knowledge Graphs and RDL
  • Solid ML knowledge and practical AI experience
  • Ability to build partnerships and lead cross-team initiatives

Tasks

  • Own pre-training, evaluation, and meta-data assets
  • Develop and execute the data strategy
  • Lead data extraction and curation processes
  • Perform rigorous data quality analysis
  • Set technical priorities and work packages
  • Define data requirements with science leads
  • Co-design datasets to enhance model capabilities
  • Build alliances with internal technology providers
  • Analyze datasets for patterns and edge cases
  • Influence data architecture for seamless access
  • Manage data processing pipelines and tooling
  • Ensure adherence to strict compliance standards
  • Coordinate with diverse multi-national stakeholders

Work Experience

  • 7 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • SAP
  • VDM
  • CDS
  • OData
  • SQL
  • BDC
  • HANA
  • BTP
  • Python
  • Knowledge Graphs
  • RDL

Benefits

Learning & Development

  • Constant learning
  • Skill growth

Informal Culture

  • Inclusion culture

Healthcare & Fitness

  • Health and well-being focus

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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