SAP is looking to integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications, leveraging Large Language Models (LLMs) to reshape the landscape of Machine Learning and change the way work and products are developed.
Requirements
- 5+ years of relevant experience in Machine Learning, including at least 1 year working with LLMs.
- Extensive hands-on experience with LLMs, fine-tuning, or deep learning.
- Strong understanding of the challenges and opportunities in applying Generative AI within a business context.
- Proficiency in Python, with practical experience using ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience with agentic AI frameworks (e.g., LangGraph or equivalent).
- An established record of publications related to LLMs, Foundation Models, or Knowledge Graphs.
- Proven ability to apply AI systems effectively and a strong motivation to continuously grow technical skills in fine-tuning and scalable ML solutions.
Responsibilities
- Play a key role in building enterprise AI solutions, embedded within SAP’s rich and diverse business data context.
- Solve complex problems using cutting-edge LLMs focusing on in-context learning, fine-tuning or pre-train models.
- Apply expertise in data pre-processing, Information Retrieval, Retrieval-Augmented Generation (RAG), and Agentic AI to improve multimodal question answering.
- Stay on top of the latest advancements in LLMs, Foundation Models, and Machine Learning; leverage this knowledge to enhance models and drive product quality.
- Define ML tasks, develop and implement models or hypotheses, and present experiments and results effectively that address real-world enterprise challenges.
- Collaborate cross-functionally with other teams to align AI capabilities and models with SAP’s strategic objectives and product roadmap.
- Contribute towards thought leadership and innovation in new data modalities for Foundation Models and Generative AI
Other
- PhD or master’s degree in computer science, Artificial Intelligence, or a related field.
- Establish and lead research collaborations with academic and commercial partners.
- Expected Travel: 0 - 10%
- Employment Type: Regular Full Time
- Additional Locations: LI-Hybrid
