Machine Learning Engineer for Time Series Classification

Vor 4 Tagen

Erlangen, Bayern, Deutschland Siemens AG Vollzeit

Mode of Employment: Limited

Unlock Your Potential:

Are you ready to take your knowledge to the next level? We invite you to complete your bachelor's or master's thesis with us at Siemens AG. Our team will provide you with the perfect springboard to combine your knowledge, discover new connections, and formulate innovative ideas.

What's in it for you?

  • You will explore and implement cutting-edge transfer learning techniques for on-site training time series classification.
  • You will develop an algorithm that can adapt to new data autonomously when deployed in the field.
  • You will identify the most hardware-efficient alternative combining tinyML techniques for implementation on microcontrollers or AI-accelerators.
  • You will integrate the solution to create real-world impact in an industrial application, showcasing its capabilities and demonstrating on-site model updates.

What you need to succeed:

  • You are proficient in Python for developing machine learning models and implementing algorithms.
  • You have experience in C++ for implementing efficient and robust software solutions on embedded systems or AI accelerators.
  • You have a strong background in machine learning, particularly in transfer learning and time series data analysis.
  • Familiarity with data preprocessing, feature extraction, and concept drift detection techniques is a plus.
  • You have the ability to integrate and test software on hardware platforms, ensuring efficient real-time performance.

Make Your Mark at Siemens AG:

We are an equal-opportunity employer and welcome applications from diverse candidates. If you're interested in learning more about Siemens AG before applying, we encourage you to explore our website.

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