Auf einen Blick
- Aufgaben: Lead engineering efforts in data privacy for Foundation Models and develop secure ML solutions.
- Arbeitgeber: Join SAP, a global leader in enterprise application software, focused on innovation and collaboration.
- Mitarbeitervorteile: Enjoy a flexible work environment, strong focus on personal development, and diverse benefit options.
- Warum dieser Job: Be part of a revolutionary team shaping the future of AI in business applications.
- Gewünschte Qualifikationen: PhD or Master's in relevant fields with extensive experience in data privacy and Machine Learning.
- Andere Informationen: Work in a highly collaborative international team dedicated to infusing AI into enterprise applications.
Das voraussichtliche Gehalt liegt zwischen 72000 - 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.
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.
Senior/Expert Machine Learning Engineer (f/m/d): Data... Arbeitgeber: SAP AG
Kontaktperson:
SAP AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior/Expert Machine Learning Engineer (f/m/d): Data...
✨Tip Number 1
Familiarize yourself with the latest advancements in differential privacy and how they apply to Foundation Models. This knowledge will not only help you stand out but also demonstrate your commitment to data privacy, which is crucial for this role.
✨Tip Number 2
Engage with the AI community by attending relevant conferences or webinars focused on Machine Learning and data privacy. Networking with professionals in the field can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your hands-on experience with ML frameworks like PyTorch or TensorFlow through personal projects or contributions to open-source initiatives. This practical experience will be a strong asset during discussions with our team.
✨Tip Number 4
Prepare to discuss your strategic thinking and leadership skills in the context of collaborative projects. Highlighting your ability to work effectively within a team will resonate well with our company culture at SAP.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior/Expert Machine Learning Engineer (f/m/d): Data...
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you thoroughly understand the responsibilities and requirements of the Senior/Expert Machine Learning Engineer position. Highlight your experience with data privacy, differential privacy, and your technical vision in your application.
Tailor Your CV: Customize your CV to reflect your relevant experience in machine learning, particularly with structured data and Foundation Models. Emphasize your proficiency in Python and any experience with ML frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data privacy. Discuss how your background aligns with SAP's mission to enhance business processes through innovative AI solutions.
Highlight Teamwork and Leadership Skills: Since the role emphasizes collaboration and leadership, provide examples of past experiences where you successfully led a team or collaborated on complex projects. This will demonstrate your fit within SAP's culture.
Wie du dich auf ein Vorstellungsgespräch bei SAP AG vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data privacy and machine learning frameworks like PyTorch or TensorFlow. Highlight specific projects where you implemented secure ML solutions, as this will demonstrate your hands-on experience and technical vision.
✨Understand the Business Context
Familiarize yourself with how Generative AI can be applied in a business context, especially within ERP or CRM domains. This understanding will help you articulate how your skills can contribute to SAP's mission of enhancing business processes.
✨Emphasize Collaboration Skills
SAP values teamwork and collaboration. Be ready to share examples of how you've successfully worked in teams, particularly in cross-functional settings. Discuss any leadership roles you've taken on and how you fostered a collaborative environment.
✨Align with SAP's Values
Research SAP's culture and values, especially their commitment to inclusion and personal development. During the interview, express how your personal values align with theirs and how you can contribute to a diverse and inclusive workplace.