About the SAP Internship Experience Program 



The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. 



Three reasons to intern at SAP 



1. Culture of collaboration: Meet with mentors, make new friends across the globe, and create a thriving personal network. 

2. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. 

3. Gain visibility: with the SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs, and career development opportunities at your fingertips. 







What you’ll do: 



Position title: SAP Ariba iXp Intern - AI Machine Learning 



Location: Hybrid - Palo Alto 



Expected start date: June 2025 



Duration: 6- 12 months 



Working hours: Full-time (40 hrs./week) 







As a Core AI Machine Learning Intern, you will be tasked with working with Senior MLE Engineers, Senior Data Engineers, and Senior Data Scientists to deliver Innovative AI Algorithms to serve our Customers. The goal is to ensure that the individual can take Artificial Intelligence algorithms from Concept to Production, thus requiring both Data Science as well as MLOPs skill sets. Deliverables will include Vector Search, Guided Buying Recommendations, and Agentic workflows to Production 
Vector Search is an integral part of Ariba for Enterprise-based search. We intend to build next generation of search capabilities that will delight our customers with relevant search results 
GBR is a service that delivers personalized recommendations to our customers. We are looking to revamp this service with novel DevOps and MLOPs infra. In addition to following best practices 




What you bring: 





We’re looking for someone who takes initiative, perseveres, and stays curious. You like to work on meaningful innovative projects and are energized by lifelong learning. 





Skills desired are Python programming skills, MLOPs – Linux, Docker containerization, working with Vector and regular DB, Familiarity with Agentic frameworks like Langchain, LangGraph, and Function. Calling, Familiarity with Generative Pretrained Networks, including understanding of Knowledge distillation, Low Rank Adaptation-LoRA, fine-tuning etc 
The candidate must have taken classes in ML, Data Science, and Statistical Machine Learning, The Candidate must have deployed ML models into production previously and be hands-on with using git repo as well as CI/CD pipelines 
Education: Master’s Degree or a Bachelor's Degree in Data Science, Machine Learning or Computer Science from a top University 
Eligibility: Must be currently enrolled, or recently graduated (start date must be within 6 months of graduation date) from a coding academy/bootcamp, apprenticeship, associate, bachelor’s, master’s or JD/PhD program