AI/ML Scientist - Generative AI
About The Position
At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications. 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. SAP AI Product Engineering is responsible for designing central frameworks and cloud services such as Joule, Joule for Consultant, Generative AI Hub, AI Core, and Document Information Extraction as the AI foundation for embedded AI throughout our portfolio in addition to our efforts towards SAP’s foundation models, both our own tabular business models and building on top of partner LLMs, and generative AI technologies.
Requirements
- Bachelor's with minimum 2 years of relevant experience or master's degree in computer science, Artificial Intelligence, or a related field.
- 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.
Benefits
- Constant learning
- skill growth
- great benefits
- team that wants you to grow and succeed
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
