(Senior) Applied AI/ML Scientist (f/m/d): Structured Enterprise Data

at  SAP

10557 Berlin, Moabit, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate24 Jan, 2025Not Specified25 Oct, 20243 year(s) or aboveGood communication skillsNoNo
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Description:

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.

Responsibilities:

Summary:
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. However, their limited ability to leverage tabular data leaves a considerable share of enterprise data untapped. It is SAP’s mission to overcome this challenge within the realm of Business AI. Our goal is to adapt Foundation Models to SAP data, enabling our clients to solve their business processes more effectively.

The Role:

  • Unique opportunity to develop a Foundation Model on structured business data.
  • Collaborate with senior AI scientists to develop and finetune Foundation Models for use cases on structured data.
  • Design and implement scalable pipelines and models, address open challenges to process and analyze large-scale structured datasets efficiently.
  • Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models.
  • Optimize and fine-tune models to improve accuracy, scalability, and interpretability.
  • Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI.


REQUIREMENT SUMMARY

Min:3.0Max:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Computer Science

Proficient

1

10557 Berlin, Germany