SOME IT WORKS. SOME CHANGES WHAT’S POSSIBLE.
SHARE YOUR PASSION.
More than 90% of automotive innovations are based on electronics and software. That’s why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
We, the BMW Group, offer you an interesting and varied Master thesis in the area of Continous Learning and Data Acquisition in Machine Learning Operation (MLOps).
Machine Learning Operations (MLOps) aims to streamline the deployment, monitoring, and continuous development of machine learning models in production environments [1,2]. One of the critical challenges in MLOps is ensuring that models remain up-to-date and perform well as new data becomes available. Continuous learning addresses this challenge by focusing on the acquisition of data and the subsequent training enabling models to be adapted continuously over their lifetime. This thesis aims to develop and optimize techniques for continuous learning and data acquisition within MLOps frameworks, enhancing the efficiency and effectiveness of machine learning operations.
What awaits you?
Please note that you must ensure that the thesis is supervised by a university.
What should you bring along?
What do we offer?
You are enthused by new technologies and an innovative environment? Apply now!
At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.
Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity
Earliest starting date: from 10/01/2024
Duration: 6 months
Working hours: Full-time
Contact:
BMW Group HR Team
+49 89 382-17001
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