We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you'll build:

We are looking for a hands-on researcher, who will be responsible for the conducting research in artificial intelligence, machine learning, deep learning, natural language processing, computer vision, or other related AI domains that enhance or extend the reach of Value Engineering Solutions.

• Support the design, development, and implementation of AI algorithms, models, and systems under the guidance of Product owner.

• Contribute to experimentation with various AI techniques, and analysis of results.

• Help in reviewing relevant AI research literature and summarizing key findings.

• Participate in the research lifecycle, from problem definition to the development of research prototypes.

• Assist in defining AI model requirements, data needs, and evaluation metrics for AI-driven features.

• Support the monitoring of AI model performance in production and identify opportunities for optimization.

• Collaborate with engineers on ongoing AI projects, contributing to team discussions and problem-solving

What you bring:

• Currently pursuing Master's degree in Computer Science(including 1st year), Software Engineering, Artificial Intelligence, or a related technical field.

• Strong academic record and a keen interest in AI research.

• Familiarity with fundamental machine learning concepts, algorithms, and deep learning frameworks (e.g., Tensor Flow, Py Torch).

• Proficiency in at least one programming language.

• Basic understanding of data manipulation, analysis, and visualization.

• Solid foundational knowledge in mathematics, including linear algebra, calculus, probability, and statistics

Where you belong:

The Global Value Advisory team combines the Engineering responsibilities with the goal of shaping a sustainable, extendable and stable platform while catering the business needs and maintaining responsibility on technical strategic advisory and tasks. As part of Value Experience Engineering & Strategy Acceleration team, the SAP Value Lifecycle manager (VLM)is a ‘One Value’ online platform to perform digital maturity assessments, process benchmarking, value analysis and developing business cases. SAP VLM has a strong user base of around40,000 and is the largest benchmarking database in the world. SAP VLM is used primarily by IVEs across the globe to run large deal engagements, which caters to40+ industry/sub industries. As a part of the product development team, you will work with a strong group of technical members having ownership of solution designs, implementations, testing, and delivery with high quality.

Duration: 6 months

Start date: As early as possible

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 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.

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.

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.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 435896 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time | Additional Locations: