Senior/Expert Machine Learning Engineer (f/m/d): Data Privacy-Preserving AI

at  SAP

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.

Summary:
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) 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 lead the engineering efforts in the area of data privacy for a newly established Foundation Model on structured business data.
• Your primary objective is to design, develop, and execute technical solutions to safeguard our sensitive training data, focusing specifically on securing the models against potential threats and vulnerabilities.
• Engineer and implement innovative methodologies to ensure the highest level of data integrity and security, as well as adhering to the highest ethical and regulatory standards with the Foundation Model.
• Define processes, methods, and implement solutions from the ground up with an understanding to put them together for an End-to-End Foundational Model.
• Collaborate with the legal department to ensure alignment between data privacy approaches and legal requirements.
• Contribute to thought leadership in a revolutionary new data modality for Foundation Models and Generative AI.