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About the role
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 cooperative, caring team environment with a robust focus on learning and development, recognition for your individual contributions, and a variety of perk options for you to choose from. What youll do You'll work on the entire lifecycle of development projects, both customer specific and SAP-defined Collaborate and work with teams spread across geographies and time zones You'll be involved in various aspects of the data science process, including acquiring data, conducting exploratory data analysis, developing proof of concepts with the state of art LLM model, and establishing their performance Implement backlogs for functional and non-functional requirements Evaluate and adopt generative AI based solutions - either through external LLMs or fine tuning Local LLMs, independently or mnimal support from the experts: Must be able to deploy AI models into production systems and ensure scalability and reliability, independently or mnimal support from the experts: Perform thorough testing and validation of AI models to ensure accuracy and robustness, independently or mnimal support from the experts: Stay up-to-date with the latest advancements in Gen AI, machine learning, mentor team members and contribute to the team's knowledge-sharing initiatives. What you Bring Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related field. Good understanding of AI algorithms, ML, model evaluation, and validation techniques Solid understanding of the mathematics related to data science - probability, statistics, linear algebra etc St .
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