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.
As a Data Scientist/Researcher, you will join an international team of data scientists and data engineers to help build machine learning-based cloud solutions. Our team works on real-world problems for SAP’s customers, especially in intelligent document processing, such as extracting information from documents using AI. You will have the opportunity to work with large, interesting datasets and learn about both traditional and modern AI techniques, including the latest in Generative AI (GenAI). You’ll also learn about best practices for building reliable and scalable AI solutions.
What you’ll do
Implement machine learning and GenAI algorithms, including large language models (LLMs) and transformers. Support the team in developing and testing AI solutions using real data. Assist in monitoring and improving the performance of our AI models by following MLOps best practices, such as automated testing and model versioning, with guidance from senior team members. Collaborate with different teams (Developers, Product Managers, and stakeholders) to help deliver high-quality AI products.
What you bring
Knowledge of AI and data science, with an interest in deep learning and GenAI (e.g., LLMs, transformers). Experience with Python and machine learning libraries such as Scikit Learn, TensorFlow, or PyTorch (coursework or personal projects welcome). Experience with MLOps tools and practices (e.g., Docker, CI/CD pipelines, model monitoring). Analytical thinking, curiosity, and a desire to learn and grow. Awareness of ethical and privacy considerations in AI. Fluency in both written and spoken English.
Tech you bring
Familiarity with Python and basic ML libraries (e.g., Scikit Learn, PyTorch, or Hugging Face Transformers). Experience with SQL or NoSQL databases is a plus. Experience with prompt engineering, model fine-tuning, and GenAI evaluation. Basic knowledge of MLOps tools and frameworks. Problem-solving mindset.
Tech you’ll learn
The latest developments in applied ML, AI, and GenAI for real-world products. Best practices for building responsible and effective ML, AI, and GenAI solutions. Advanced MLOps methods for scalable and reliable machine learning operations.
Meet your team
As Intelligent Spend and Business Network, we play a crucial role in addressing our customers' end-to-end procurement, travel and expense, and external workforce needs with visibility and agility across the entire supply chain. Our data science team is a small team with diverse backgrounds which will value your individual contribution as well as your ability to collaborate effectively with the rest of the team to develop powerful and effective ML/AI solutions.
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: 433605 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid