SAP SAP Ariba iXp Intern - AI Machine Learning 

United Kingdom, England, London 

630453022

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.: 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:

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

San Jose