We help the world run better

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.

What you'll do :

 

As an engineering intern in the Big Data & Machine Learning Foundation team, your mission will be to implement GenAI model monitoring tools. You will also be involved in the maintenance and administration of the platform. 

 

The tasks associated with this internship will involve :

GenAI monitoring Evaluation of a new SAP technology for data processing

 

Your activity will consist of the following points:

Implementing GenAI model monitoring tools (LLM). As part of this assignment, you will be required to implement tools/services for monitoring GenAI models. Participating in the management and governance of the ML Workbench Maintaining a platform requires the creation and continuous improvement of numerous processes. As a member of the team, you will be asked to participate in this constant maintenance effort throughout your internship.

 

What you bring :

 

You are in your final year of IT engineering studies, specialising in data science or equivalent.

 

Skills required:

Comfortable with Python language (intermediate level) Fluency in spoken and written English (B2/C1) Advanced knowledge of data science Knowledge of GenAI

 

Additional skills appreciated :

Knowledge of MLOps (Machine Learning Operations) Knowledge of Databricks Apache Spark basics

 

Meet your team:

 

Within the global SAP IT organisation, and its ‘Technology Services - Data Science, AI and Big Data’ unit, our ‘Big Data & Machine Learning Foundation’ team designs, implements and operates the Data Lake and Machine Learning services of the company's Data Platforms.

We are an international team of technical experts in the field of Data & Analytics, motivated to accelerate SAP's cloud transformation by exploiting all available data in a responsible and secure manner.

Start date : January 2025
Length : 6 months

In accordance with the French legislation, for any duration over 2 months, this internship is paid in line with the SAP gratification grid.

 

 

​Bring out your best

SAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand 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, you can bring out your best.

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: Careers@sap.com
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.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 406530  | Work Area: Software-Development Operations  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Full Time   | Additional Locations: #LI-Hybrid.