SAP · 14 hours ago
SAP NS2 AI Data Engineer Intern
SAP is the global market leader for business software and related services. As an AI Data Engineer Intern at SAP NS2, you will support machine learning and AI initiatives, contributing to the development of scalable data pipelines and assisting in AI model deployment within secure delivery environments.
AnalyticsBusiness IntelligenceBusiness Process Automation (BPA)ComputerData ManagementFinanceSoftware
Responsibilities
Support machine learning and AI project teams with all aspects of data management and pipeline development
Assist in building scalable and reusable data processing pipelines on cloud platforms (AWS GovCloud, SAP BTP)
Identify manual, repetitive tasks and develop automation solutions to improve operational efficiency
Work with AI integration APIs and SAP AI Core to support model deployment and operationalization
Support data acquisition, validation, and curation activities including metadata management (versioning, cleaning, storing)
Collaborate with AI engineers and domain experts to organize and improve datasets for AI/ML projects
Assist in integrating automation and AI capabilities into customer-facing solutions to enhance delivery experience
Contribute to process documentation, standardization efforts
Contribute to data auditing efforts and quality assurance for AI training datasets
Participate in proof-of-concept projects that leverage cloud technologies and networking concepts
Document data workflows, integration patterns, and technical processes
Qualification
Required
Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Computer Engineering, or a related technical field
Strong interest in process improvement, automation, AI/ML technologies, data engineering, and cloud computing
Foundational programming skills in Python or similar languages
Familiarity with cloud technologies and basic networking concepts
Understanding of data structures, databases, and data processing workflows
Solid analytical and problem-solving abilities with attention to detail
Excellent communication skills, with the ability to collaborate across technical and business teams
Proactive mindset, with the ability to work both independently and as part of a team
Preferred
Experience with APIs, data pipelines, or cloud platforms (AWS, Azure, GCP) is a plus
Familiarity with AI/ML frameworks or data engineering tools is desirable, but not required – a willingness to adapt and learn is essential
Familiarity with process improvement methodologies (Lean, Six Sigma, Agile) is desirable, but not required
Benefits
Constant learning
Skill growth
Great benefits
Company
SAP
SAP provides enterprise application software to various industries, including consumer, discrete manufacturing, public services.
Funding
Current Stage
Public CompanyTotal Funding
$1.3BKey Investors
Elliott Management Corp.
2019-04-24Post Ipo Equity· $1.3B
2015-06-01Grant· $1.37M
1998-08-03IPO
Leadership Team
Recent News
2026-01-24
2026-01-24
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