(Junior) AI Scientist (f/m/d): SAP Business AI - SAP Knowledge Graph

Walldorf, DE, 69190

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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  

At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate.  Large Language Models (LLMs) are transforming Machine Learning but pose challenges in business applications due to their limited understanding of structured and unstructured business data such as business data models, business process metadata and documentation, which slows the development progress. It is SAP's mission to overcome these challenges within the realm of Business AI. Our goal is to provide Knowledge Graphs (KG) as key differentiators to address LLM challenges like hallucination and compliance and to deliver distinctive generative AI solutions to our customers. 


The Role 

  • Unique opportunity to contribute to the development of AI applications based on our SAP Knowledge Graph 
  • Design and implement AI-based solutions with Large Language Models, neural networks and other machine learning methods.  
  • Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models and solutions end-to-end. 
  • Support our stakeholders across different lines of business (LoB) at SAP with their requirements along the whole lifecycle. 
  • Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI. 


What you bring  

  • Bachelor's or master’s degree in computer science, Artificial Intelligence, physics, mathematics, or other relevant disciplines. PhD is a plus. 
  • 1+ years hands-on experience with Machine Learning and Software Engineering 
  • Understanding of Machine Learning algorithms and techniques, experience with neural networks such as Large Language Models or transformer models 
  • Proficiency in Python and experience with neural networks such as Large Language Models or transformer models and ML libraries such as PyTorch, Langchain, Huggingface or similar 
  • Experience with Knowledge Graphs and graph machine learning and the related technologies (e.g., RDF, SPARQL, property graphs, cypher) is a plus. 
  • Curiosity and interest to experiment and adopt and implement new technologies and ideas. 
  • Ability to work effectively in distributed, cross-cultural teams 

 

Meet your team  

SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally. 

 

#SAPAICareers, #SAPBusinessAICareers, #SAPAIGermany

 

 

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.

 

Requisition ID: 411745  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Graduate  | Employment Type: Regular Full Time   | Additional Locations: Walldorf or Berlin | #LI-Hybrid
 

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  10  3  0

Tags: Computer Science Deep Learning Engineering Generative AI HuggingFace LangChain LLMs Machine Learning Mathematics PhD Physics Python PyTorch RDF

Perks/benefits: Career development Flex hours

Region: Europe
Country: Germany

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