SAP Intern - AI Engineer

Singapore, SG, 117440

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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. Apply now!

 

ABOUT SAP

As market leader in enterprise application software, SAP helps companies of all sizes and industries run better. From back office to boardroom, warehouse to storefront, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition.

 

PURPOSE AND OBJECTIVES

The Artificial Intelligence Center of Excellence (AI COE) is an integral part of the Intelligent Technology and Data organization within Intelligent Enterprise Services (IES), which serves as the internal IT organization at SAP. Operating within the Technology Services – Data Science, Artificial Intelligence, Big Data unit, our primary focus is driving the internal adoption of AI across all business processes. We achieve this by implementing standard product functionalities from the SAP AI portfolio, as well as developing custom AI solutions tailored to specific internal business cases. Specifically, we are focusing on Generative AI (GenAI) applications, integrating Large Language Models (LLM) with existing AI and data workflows. Currently, we have numerous solutions in production, actively utilized by tens of thousands of SAP employees. In Singapore, we continuously seek exceptional young talents from renowned universities to participate in our internship program, fostering a culture of innovation and collaboration. 

 

EXPECTATIONS AND TASKS

  • Minimal duration is 12 weeks for a reasonable internship experience
  • Work alongside other AI Scientists, Engineers, and Product Owners etc
  • Communicate with stakeholders to understand SAP business processes and challenges
  • Design GenAI solutions for specific use cases, considering existing system workflow and limitations
  • Experiment with different data science and prompt engineering technics and validate with end users

 

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES

 

Required skills

  • Able to take ownership of one’s work and collaborate with others
  • Understanding of basic Machine Learning, algorithms and data structures
  • Proficiency in Python, and libraries such as Pandas, Scikit-Learn, etc
  • Experience with development tools like VScode, Pycharm, Jupyter, Docker, Git, etc
  • Advanced user of LLM (e.g. ChatGPT) with API access and / or prompt engineering 

 

WORK EXPERIENCE

  • Undergraduate or graduate students in STEM fields from any university
  • Students with non-technical majors and self-learned data science skills are welcome to apply

 

LOCATION

· Singapore (flexible and trust-based workspace)

 

 

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: 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: 387510  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Intern   | Additional Locations: #LI-Hybrid.
 

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Tags: APIs Big Data ChatGPT Docker Engineering Generative AI Git GPT Jupyter LLMs Machine Learning Pandas Prompt engineering Python Scikit-learn STEM

Perks/benefits: Career development Flex hours Startup environment

Region: Asia/Pacific
Country: Singapore
Job stats:  48  23  0

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