SAP Senior/Expert Machine Learning Engineer f/m/d Data Privacy-Preserving AI 

Germany, Berlin 

947856365

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.
• PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
• Extensive experience in data privacy, particularly in differential privacy, and its application in Foundation Models and Machine Learning.
• Strong technical vision on how to ensure data privacy for Foundation Models.
• Deep understanding of issues and opportunities of applying Generative AI in a business context.
• Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
• Exceptional teamwork abilities, leadership and strategic thinking skills.
• Professional experience with Machine Learning on structured data, preferably in the ERP or CRM domain.
• Hands-on experience in developing and deploying secure and privacy-preserving ML solutions.