.BTP AI Data Scientist / Machine Learning Engineer 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 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. What You'll Do 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. What You'll Bring Proven Experience: Over 3 years of experience as a Machine Learning Engineer or Data Scientist, ideally within business application software companies. Generative AI Expertise: Strong understanding of Generative AI concepts and extensive knowledge of generative AI models, frameworks, and tools. Programming Skills: Strong coding abilities in at least one of the following programming languages: Python, Java or TypeScript. Technical Proficiency: Expertise in prompt engineering and tuning techniques such as chain-of-thoughts and RAG. Proficient in deep learning concepts and libraries like Scikit-learn, Numpy, Pandas, Pytorch, Generative Pre-Trained Transformer, and TensorFlow. Good knowledge with SQL. Scalable Solutions: Experience in developing and productizing scalable AI solutions. Agile Methodologies: Familiarity with Agile methodologies is preferred. Innovative Mindset: Ability to introduce and execute new ideas effectively. SAP Knowledge: Understanding of SAP technologies, including SAP BTP and SAP HANA
