BTP AI Data Scientist / Machine Learning Engineer

at  SAP

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.

We are looking for a Data Scientist / Machine Learning Engineer with a passion for innovative cloud platform topics and the field of Generative Artificial Intelligence (GenAI).
GenAI has emerged as a transformative force in society, and has the ability of creating, mimicking, and innovating a wide range of domains. This has implications for enterprise software and ultimately SAP.
This role brings a unique opportunity to participate in shaping and delivering the future of GenAI capabilities across our Business Technology Platform (BTP) and requires a self-directed team player with deep coding knowledge and business acumen.
Join our international multi-disciplinary AI team, where you will be working closely with Architects, Data Engineers, UX designers and many others. You’ll be immersed in an environment that fosters innovation, with plentiful opportunities for personal growth and continuous learning.

As a BTP AI Data Scientist / ML Engineer, you will:

• Lead Cutting-Edge Research: Drive applied research, proof-of-concept projects, and technological exploration within our dynamic AI development team, adhering to detailed project plans and specifications.
• Collaborate Globally: Join our global IT business technology team, tackling large-scale, complex challenges. Your creativity and expertise will be pivotal in delivering top-notch technical solutions.
• Innovate Solutions: Design, implement, and test advanced AI-powered systems to address and solve intricate business challenges.
• Shape the Future of AI: Develop and enhance generative AI applications across a variety of use cases, pushing the boundaries of what’s possible.
• Drive End-to-End Projects: Take ownership of comprehensive AI/ML projects, contributing beyond algorithm development.
• Master AI Techniques: Utilize a broad spectrum of AI and Machine Learning techniques, managing all facets of the system including model architecture, pipeline automation, and metrics interpretation.
• Validate and Innovate: Validate machine learning use cases through proof-of-concepts with Large Language Models, in collaboration with SAP AI Business Technology Platform.
• Collaborate and Patent: Work closely with fellow AI Engineers and Architects, sharing knowledge and best practices, with opportunities to patent innovative solutions.