Auf einen Blick
- Aufgaben: Lead engineering efforts in data privacy for a new Foundation Model on structured business data.
- Arbeitgeber: SAP is a global leader in enterprise software, focused on innovation and collaboration.
- Mitarbeitervorteile: Enjoy a flexible work environment, personal development opportunities, and a culture of inclusion.
- 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: Work in a highly collaborative international team dedicated to enhancing business processes.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € 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.
Senior/Expert Machine Learning 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 Machine Learning Engineer (f/m/d): Data Privacy-Preserving AI
✨Tip Number 1
Fokussiere dich auf deine Erfahrungen im Bereich Datenschutz und Differential Privacy. Bereite konkrete Beispiele vor, wie du diese Konzepte in früheren Projekten angewendet hast, um die Relevanz deiner Fähigkeiten für die Position zu unterstreichen.
✨Tip Number 2
Informiere dich über die neuesten Entwicklungen im Bereich der generativen KI und deren Anwendung in Unternehmen. Zeige dein Interesse an diesen Themen in Gesprächen und betone, wie du innovative Lösungen entwickeln kannst, die den Anforderungen von SAP entsprechen.
✨Tip Number 3
Netzwerke mit Fachleuten aus der KI- und Datenschutz-Community, um Einblicke in aktuelle Trends und Herausforderungen zu gewinnen. Dies kann dir helfen, relevante Themen anzusprechen und deine Kenntnisse während des Auswahlprozesses zu erweitern.
✨Tip Number 4
Bereite dich darauf vor, deine Teamarbeit und Führungsfähigkeiten zu demonstrieren. Denke an spezifische Situationen, in denen du erfolgreich mit anderen zusammengearbeitet hast, um komplexe technische Probleme zu lösen oder innovative Projekte voranzutreiben.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior/Expert Machine Learning Engineer (f/m/d): Data Privacy-Preserving AI
Tipps für deine Bewerbung 🫡
Align Your Profile: Carefully read the job description and align your skills and experiences with the requirements listed. Highlight your expertise in data privacy, machine learning, and any relevant frameworks like PyTorch or TensorFlow.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for AI and data privacy. Discuss specific projects or experiences that demonstrate your ability to lead engineering efforts in this area.
Highlight Relevant Experience: In your CV, emphasize your professional experience with machine learning on structured data, particularly in ERP or CRM domains. Include any hands-on experience you have in developing secure and privacy-preserving ML solutions.
Showcase Teamwork and Leadership Skills: Since the role requires exceptional teamwork abilities and leadership skills, provide examples of past collaborations or leadership roles you've held. This will help demonstrate your fit within SAP's collaborative culture.
Wie du dich auf ein Vorstellungsgespräch bei SAP AG vorbereitest
✨Understand Data Privacy Principles
Make sure you have a solid grasp of data privacy concepts, especially differential privacy. Be prepared to discuss how these principles can be applied in the context of Foundation Models and Machine Learning.
✨Showcase Your Technical Skills
Highlight your proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow. Be ready to provide examples of secure and privacy-preserving ML solutions you've developed or deployed.
✨Demonstrate Collaboration Abilities
SAP values teamwork, so be prepared to share experiences where you've successfully collaborated with cross-functional teams, particularly with legal departments regarding data privacy compliance.
✨Prepare for Ethical Discussions
Since the role involves adhering to ethical and regulatory standards, think about how you would approach ethical dilemmas in AI and data privacy. Be ready to discuss your views on balancing innovation with responsibility.