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 
Summary:
At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. However, their limited ability to leverage tabular data leaves a considerable share of enterprise data untapped. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to adapt Foundation Models to SAP data, enabling our clients to solve their business processes more effectively.
The Role:

Unique opportunity to develop a Foundation Model on structured business data.  Collaborate with senior AI scientists to develop and finetune Foundation Models for use cases on structured data. Design and implement scalable pipelines and models, address open challenges to process and analyze large-scale structured datasets efficiently. Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models. Optimize and fine-tune models to improve accuracy, scalability, and interpretability. 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, or other relevant disciplines. PhD is a plus. 5+ years of related professional experience incl. 3+ years hands-on experience with Machine Learning on structured/Tabular Enterprise data such as in the ERP or CRM domain. Experience with implementing data preprocessing pipelines for relational structured data. Deep understanding of Machine Learning algorithms and techniques, particularly in the context of structured data. Experience with Foundation Models, Transformers, or Deep Learning and their application in a business context. Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar. Strong communication and collaboration skills, with the ability to work effectively in 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
 

#SAPBusinessAICareers #SAPAICareers

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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: 401884  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   |  #LI-Hybrid
 

 

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