SAP
SAP App Foundation Ai Engineer - Ixp Intern
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. 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: Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. Gain visibility: with SAP Internship Experience Program in your title, you'll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips. Position title: SAP App Foundation Ai Engineer - Ixp Intern Location: Palo Alto (Hybrid, 40 hours per week) Expected start date to end date: Sep 1, 2025
Aug 3, 2026 (Full-time 40h) As AI Machine Learning Intern, you will be tasked with working with ML Engineers, Data Engineers, Data Scientists to delivering innovative AI algorithms to serve our customers. The goal is to ensure that the individual can take Artificial Intelligent Algorithms from Concept to Production thus requiring both Data Science as well as MLOPs skill sets. Deliverables will include Integration automation between multiple SAP products, and Agentic workflows to Production. We're looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning. Master's Degree or a Bachelors Degree in Data Science, Machine Learning or Computer Science from a top University Position requirements: Skills desired are Python programming skill, MLOPs
Linux, Docker containerization, Working with Vector and regular DB, Familiarity with Generative AI programming and Agentic frameworks like LangChain, LangGraph, Function Calling.The candidate must have taken classes in ML, Data Science, 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 pipeline The team is spread out across multiple locations in the United States and India. We will pair the ideal candidate with one of our lead engineers to ensure that they're brought upto speed quickly and can start making contributions to the team. SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone
regardless of background
feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. The targeted combined range for this position is 15 - 62(USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance.
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. 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: Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. Gain visibility: with SAP Internship Experience Program in your title, you'll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips. Position title: SAP App Foundation Ai Engineer - Ixp Intern Location: Palo Alto (Hybrid, 40 hours per week) Expected start date to end date: Sep 1, 2025
Aug 3, 2026 (Full-time 40h) As AI Machine Learning Intern, you will be tasked with working with ML Engineers, Data Engineers, Data Scientists to delivering innovative AI algorithms to serve our customers. The goal is to ensure that the individual can take Artificial Intelligent Algorithms from Concept to Production thus requiring both Data Science as well as MLOPs skill sets. Deliverables will include Integration automation between multiple SAP products, and Agentic workflows to Production. We're looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning. Master's Degree or a Bachelors Degree in Data Science, Machine Learning or Computer Science from a top University Position requirements: Skills desired are Python programming skill, MLOPs
Linux, Docker containerization, Working with Vector and regular DB, Familiarity with Generative AI programming and Agentic frameworks like LangChain, LangGraph, Function Calling.The candidate must have taken classes in ML, Data Science, 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 pipeline The team is spread out across multiple locations in the United States and India. We will pair the ideal candidate with one of our lead engineers to ensure that they're brought upto speed quickly and can start making contributions to the team. SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone
regardless of background
feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. The targeted combined range for this position is 15 - 62(USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance.