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
- 1+ years of relevant experience in Machine Learning, including at least 1 year working with LLMs.
- Hands-on experience with LLMs, fine-tuning, or deep learning.
- 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).
- 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 and Agentic AI, 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 for improving 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.
- Contribute to innovation in new data modalities for Generative AI applications and foundation models
Other
- Bachelor’s with minimum 2 years of relevant experience or master’s degree in computer science, Artificial Intelligence, or a related field.
- Expected Travel: 0 - 10%
- Employment Type: Regular Full Time
- Additional Locations: LI-Hybrid
- Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
