SAP iXp Ariba Platform -Machine Learning Internship

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SAP Internship Experience Program

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

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.

About the team

SAP Ariba helps our customers find opportunities to cut costs, reduce risk, and grow revenue through better collaboration with trading partners. Ariba is a rapidly growing cloud company and a leader in the procurement space bringing millions of buyers and suppliers together, Ariba is also evolving into a Machine Learning powerhouse, utilizing the power of AI to delight our customers. As a Developer and Data Scientist on the SAP Ariba Platform team, you can accelerate the innovation, design, and delivery of the next generation of the Ariba cloud experience with Machine Learning and Generative AI. Our solutions touch all the participants of the largest Business Network running over $1.7 trillion of collaborative commerce. Applications running on the Network provide critical business processes involving thousands of buying organizations, millions of sellers across the globe, and several millions of users.

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What you’ll do:_

Position title: SAP iXp Ariba Platform -Machine Learning Internship

Location: United States - (San Ramon, Palo Alto, San Francisco )

Expected start date to end date: xxxx

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In this role, you’ll:_

As a Machine Learning Intern on the SAP Ariba Platform team, you can accelerate the innovation, design, and delivery of the next generation of the Ariba cloud experience including Machine Learning and Generative AI solutions. Our solutions touch all the participants of the largest Business Network running over $1.7 trillion of collaborative commerce. Applications running on the Network provide critical business processes involving thousands of buying organizations, millions of sellers across the globe, and several millions of users.

Design and implement innovations in the payments space for the Ariba Platform

Develop, test, and deploy new microservices that work with the core Ariba Platform in accordance with established engineering and security standards

Work in and develop core components for the Ariba cloud such as persistence, metadata model, object model framework, common data server, and UI frameworks

Master framework design and modeling in a largescale, multitenant, on-demand environment

Proactively detect and solve scalability and performance issues

Work across teams and functions to build best-in-class solutions for various stakeholders

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Who you are:_

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.

Pursuing a Bachelor’s degree or Advanced degree in Computer Science, Data Science, Machine Learning with equivalent work experience.

1 to 3 years developing production-grade, scalable, multi-threaded python API and web applications

Working knowledge of cloud-native architecture and cloud deployment frameworks, including microservices, containerization, Jenkins deployment pipeline, Docker files & K8s.

Capable of application performance analysis, tuning as well as latency enhancements with vector programming.

Knowledgeable in application security best practices, networking, and data communication

Proficient in Python, Linux, HTML, and REST APIs with either Flask, FAST APIs etc.

Proficiency in building production-grade Machine Learning products

Proficiency with Databricks, github fundamentals

An understanding of the basics of Encoder and Decoder models including Generative LLM models.

PR eferred Qualifications:

Experience working with and deploying LLM models in production.

Experience with cloud platforms such as GCP, AWS, and Azure.

Experience with MLOPs, LLMOPs and/or genAIOPs

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SAP DIVERSITY COMMITMENT

To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable 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 (Americas: or, APJ:, EMEA: ). Requests for reasonable accommodation will be considered on a case-by-case basis.

We build breakthroughs together

SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.

We win with inclusion

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 and more equitable world.

SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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: .

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Compensation Range Transparency : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is $31 - $62 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. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

Requisition ID: 392981 Work Area: Administration Expected Travel: 0 - 10% Career Status: Student Employment Type: Intern Additional Locations: #LI-Hybrid

Intern