Start Date
Immediate
Expiry Date
14 Oct, 25
Salary
0.0
Posted On
14 Jul, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Applied Sciences, Data Science, Computer Science, English, Artificial Intelligence, Tor
Industry
Information Technology/IT
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.
Our task execution platform is the central component of the Continuous Integration (CI) process for the SAP HANA product.The incoming workload is modeled in an execution graph and scheduled on a cluster of worker nodes.
In this project you will facilitate more efficient workload execution by injecting intelligence into the scheduler and its workload processing capabilities. The aim is to make use of contextual information of the workload as input for Machine Learning techniques.
The developed models will serve in deriving intelligent scheduling decisions allowing more efficient use of cluster resources. Hence resulting in reduction of costs and workload execution timings.