Auf einen Blick
- Aufgaben: Lead engineering efforts in data privacy for Foundation Models and develop secure solutions.
- Arbeitgeber: SAP is a global leader in business application software, focused on innovation and collaboration.
- Mitarbeitervorteile: Enjoy a flexible work environment, personal development opportunities, and a caring team culture.
- Warum dieser Job: Join a revolutionary team shaping AI's future while ensuring data integrity and security.
- Gewünschte Qualifikationen: PhD or Master's in Computer Science or AI, with extensive experience in data privacy and ML.
- Andere Informationen: Be part of an inclusive culture that values diverse backgrounds and promotes personal growth.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
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 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.
What you bring
- 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.
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.
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.
Senior/Expert Data Privacy Engineer (f/m/d): Data Privacy-Preserving AI Arbeitgeber: SAP AG
Kontaktperson:
SAP AG HR Team
Careers@sap.com
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior/Expert Data Privacy Engineer (f/m/d): Data Privacy-Preserving AI
✨Tip Number 1
Familiarize yourself with the latest advancements in data privacy, especially differential privacy techniques. This knowledge will not only help you understand the role better but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Showcase your experience with Machine Learning frameworks like PyTorch or TensorFlow. Be prepared to discuss specific projects where you implemented secure and privacy-preserving ML solutions, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Highlight your collaborative skills by sharing examples of how you've worked with legal teams or other departments to align technical solutions with regulatory requirements. This is crucial for a role focused on data privacy.
✨Tip Number 4
Stay updated on the ethical implications of AI and data privacy. Being able to articulate your understanding of these issues will set you apart and show that you are aligned with SAP's commitment to ethical standards.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior/Expert Data Privacy Engineer (f/m/d): Data Privacy-Preserving AI
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Senior/Expert Data Privacy Engineer position. Tailor your application to highlight your relevant experience in data privacy, particularly in differential privacy and its application in Foundation Models.
Highlight Relevant Experience: In your CV and cover letter, emphasize your extensive experience with Machine Learning frameworks like PyTorch or TensorFlow, and your hands-on experience in developing secure and privacy-preserving ML solutions. Use specific examples to demonstrate your expertise.
Showcase Collaboration Skills: Since the role involves collaboration with the legal department and other teams, make sure to mention any past experiences where you successfully worked in a team environment. Highlight your teamwork abilities and strategic thinking skills.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also reflects your passion for data privacy and AI. Discuss how your vision aligns with SAP's mission to enhance business processes through innovative AI solutions.
Wie du dich auf ein Vorstellungsgespräch bei SAP AG vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data privacy, particularly in differential privacy and its application in Foundation Models. Highlight specific projects where you implemented secure and privacy-preserving ML solutions.
✨Understand the Business Context
Demonstrate a deep understanding of how Generative AI can be applied in a business context. Be ready to discuss the challenges and opportunities that come with integrating AI into enterprise applications.
✨Collaborate Effectively
Since collaboration is key at SAP, emphasize your teamwork abilities and provide examples of how you've successfully worked with cross-functional teams, especially with legal departments regarding data privacy compliance.
✨Prepare for Ethical Discussions
Given the focus on ethical standards in data privacy, be ready to discuss your views on ethical considerations in AI and how you would ensure compliance with regulatory requirements while developing technical solutions.