Working Student / Intern (f/m/d) - Student AI Scientist for Applied AI Topics
at SAP
14469 Potsdam, Brandenburg, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 21 Dec, 2024 | Not Specified | 25 Sep, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
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:
At SAP, we are bringing together state-of-the-art AI technology with our extensive industry-specific data and deep process knowledge to create innovative AI capabilities across SAP products & services. 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, they are not the final stage of AI advancements and there is a lot of untapped potential to use data other than language to solve modern problems of business software. It is SAP’s mission to overcome these challenges within the realm of Business AI.
The Role:
- Practically apply the latest AI/ML advancements to SAP and customer problems
- Research, implement and evaluate emerging industry trends and evaluate their potential in an SAP context
- Translate new concepts and ideas into proof-of-concepts
- Work on data pipelines, including data extraction, data cleaning, exploration, feature engineering, and model building
- Participate in training data collection, model training, and evaluation
- Drive AI workloads from idea to handover for production by defining and running experiments and integrating results into prototypes
- Work closely with product management, designers, developers, and other data scientists to ensure project success
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
14469 Potsdam, Germany