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- Aufgaben: Develop AI applications using SAP Knowledge Graph and implement solutions with advanced machine learning techniques.
- Arbeitgeber: Join SAP, a leader in enterprise software, dedicated to helping the world run better.
- Mitarbeitervorteile: Enjoy a collaborative culture, flexible working models, and various benefits tailored for your growth.
- Warum dieser Job: Be at the forefront of AI innovation, impacting business processes globally while working in an inclusive environment.
- Gewünschte Qualifikationen: Bachelor's or master's in relevant fields; 5+ years in Machine Learning; strong Python skills required.
- Andere Informationen: Opportunity to guide junior members and stay updated with cutting-edge AI advancements.
Senior AI Scientist (f/m/d): SAP Business AI – SAP Knowledge Graph
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. 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
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. It is SAP’s mission to overcome challenges within the realm of Business AI. Our goal is to provide Knowledge Graphs (KG) as key differentiators to address LLM challenges and to deliver distinctive generative AI solutions to our customers.
The Role
- Contribute to the development of AI applications based on our SAP Knowledge Graph.
- Design and implement AI-based solutions with Large Language Models, neural networks, and other machine learning methods.
- Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models and solutions end-to-end.
- Interact with stakeholders across different lines of business (LoB) at SAP, understand and interpret their requirements, draft and explain solutions, and support along the whole lifecycle.
- Guide junior project members or students in projects and theses.
- Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI.
- Contribute to thought leadership using Generative AI and Knowledge Graphs in business contexts.
What you bring
- Bachelor’s or master’s degree in computer science, Artificial Intelligence, physics, mathematics, or other relevant disciplines. PhD is a plus.
- 5+ years of related professional experience with Machine Learning in a business context.
- Deep understanding of Machine Learning algorithms and techniques, experience with neural networks such as Large Language Models or transformer models.
- Deep proficiency in Python and experience with ML libraries such as PyTorch, Langchain, Huggingface, or similar.
- Experience with Knowledge Graphs and related technologies (e.g., RDF, SPARQL, property graphs, cypher) is a plus.
- Experience in the ERP or CRM domain is a plus.
- Curiosity and interest to experiment and adopt and implement new technologies and ideas.
- Strong communication, collaboration, and leadership skills, experience with agile methodology, and an ability to work effectively in distributed, cross-cultural teams.
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.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. 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 feels included and can run at their best. SAP is proud to be an equal opportunity workplace and is an affirmative action employer.
Requisition ID: 411739 | Work Area: Software-Design and Development | Expected Travel: 0 – 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: Walldorf or Berlin | #LI-Hybrid
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Senior AI Scientist (f/m/d): SAP Business AI - SAP Knowledge Graph Arbeitgeber: SAP SE
Kontaktperson:
SAP SE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior AI Scientist (f/m/d): SAP Business AI - SAP Knowledge Graph
✨Tip Number 1
Familiarize yourself with SAP's Knowledge Graph and its applications in AI. Understanding how this technology integrates with business processes will give you a significant edge during discussions with stakeholders.
✨Tip Number 2
Stay updated on the latest advancements in Large Language Models and generative AI. Being able to discuss recent trends and innovations will demonstrate your passion and expertise in the field.
✨Tip Number 3
Highlight your experience with machine learning frameworks like PyTorch and Huggingface in conversations. Practical knowledge of these tools is crucial for the role, and showcasing your hands-on experience can set you apart.
✨Tip Number 4
Emphasize your collaboration and leadership skills during interactions. SAP values teamwork and the ability to guide junior members, so sharing examples of your past experiences in these areas will be beneficial.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior AI Scientist (f/m/d): SAP Business AI - SAP Knowledge Graph
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior AI Scientist position. Understand the key responsibilities and required skills, especially in AI applications, Machine Learning, and Knowledge Graphs.
Tailor Your CV: Customize your CV to highlight relevant experience in AI, Machine Learning, and any specific technologies mentioned, such as Python, PyTorch, or Knowledge Graphs. Emphasize your collaborative projects and leadership roles.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for AI and how your background aligns with SAP's mission. Mention specific projects or experiences that demonstrate your expertise in generative AI and your ability to work in cross-cultural teams.
Showcase Continuous Learning: In your application, mention any recent courses, certifications, or research you have undertaken in Deep Learning or related fields. This shows your commitment to staying updated with advancements in technology.
Wie du dich auf ein Vorstellungsgespräch bei SAP SE vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning algorithms, especially Large Language Models and neural networks. Highlight specific projects where you've implemented these technologies and the impact they had on the business.
✨Demonstrate Collaboration Skills
Since SAP emphasizes a collaborative environment, share examples of how you've worked effectively in cross-functional teams. Discuss your role in guiding junior members or collaborating with stakeholders to meet project goals.
✨Stay Updated on Industry Trends
SAP values innovation and staying ahead in AI technology. Be ready to talk about recent advancements in Deep Learning and Generative AI that excite you, and how you envision applying them in a business context.
✨Communicate Clearly and Effectively
Strong communication skills are crucial for this role. Practice explaining complex technical concepts in simple terms, as you may need to interact with non-technical stakeholders. This will demonstrate your ability to bridge the gap between technology and business needs.
