Master Thesis in Machine Learning Operations for Continuous Learning and Data Acquisition
vor 2 Wochen
Unlock the Power of Continuous Learning in Machine Learning Operations
We are seeking a highly motivated master student to join our team at the BMW Group and work on a Master thesis in the area of Continuous Learning and Data Acquisition in Machine Learning Operations (MLOps).
MLOps aims 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.
What Awaits You?
- Research state-of-the-art continuous learning on Vision Transformers for semantic segmentation on benchmark datasets such as CityScapes and ADE20k.
- Gain practical AI experience by implementing a novel continuous learning method for Vision Transformers, contributing to our PyTorch based research stack.
- Utilize our cutting-edge training infrastructure to conduct experiments and evaluate your approach efficiently.
- Present the thesis results using the scientific method, both in written and oral formats.
- Collaborate with an experienced team that has published at international peer-reviewed conferences.
- Engage with an international and diverse team of doctoral candidates and students at the Autonomous Driving Campus in Unterschleißheim.
What Should You Bring Along?
- You are a master student approaching the end of your degree in computer science or related fields with focus on machine learning or artificial intelligence.
- You have strong knowledge in computer vision concepts, tasks and Vision Transformers.
- You have excellent programming skills in Python, PyTorch and worked with modern programming environment tools such as Docker and Git.
- You speak English fluently.
- You are driven by curiosity and motivated to solve problems independently as well as sharing ideas and working in a team.
What Do We Offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Digital offers & mobile working.
- Attractive remuneration.
- Apartment offers for students (subject to availability & only Munich).
- And many other benefits - see
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Munich, Bayern, Deutschland BMW Group VollzeitUnlock the Potential of Machine Learning OperationsAt the BMW Group, we are seeking a highly motivated master student to contribute to the development of innovative machine learning operations. The successful candidate will work on the development and optimization of techniques for continuous learning and data acquisition within MLOps frameworks.Key...
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Munich, Bayern, Deutschland BMW Group VollzeitUnlock the Power of Continuous Learning in Machine Learning OperationsAt the BMW Group, we are seeking a highly motivated master student to contribute to the development and optimization of techniques for continuous learning and data acquisition within Machine Learning Operations (MLOps) frameworks.Key Responsibilities:Research state-of-the-art continuous...
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