Optimizing Machine Learning Operations through Continous Learning
Vor 3 Tagen
**Job Overview**: At the BMW Group, we are seeking a highly motivated Master student to contribute to our research in machine learning operations. As part of this role, you will be responsible for developing and optimizing techniques for continuous learning and data acquisition within MLOps frameworks.
**Salary:**The estimated salary for this position is around €35,000 - €45,000 per year, depending on experience and qualifications.
**Job Description:**
We aim to streamline the deployment, monitoring, and continuous development of machine learning models in production environments. 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.
**Required Skills and Qualifications:**
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