Machine Learning Engineer - Implementation Specialist Energy Products | Machine Learning Engineer (w/m/d) - Implementation Specialist Energy Products
Siemens AG
Job Summary
This role involves developing cutting-edge solutions for the protection and control of electrical power grids, leveraging machine learning and artificial intelligence. The specialist will analyze, predict, and optimize grid behavior and protection mechanisms, developing algorithms for real-time anomaly detection and decision support. Key responsibilities include implementing and adapting algorithms into existing energy products to boost performance, contributing to joint research projects with universities, and developing CI/CD pipelines for AI solutions. The ideal candidate will possess a Master's degree in a relevant technical field, extensive experience in ML/Deep Learning, familiarity with frameworks like TensorFlow or PyTorch, and a foundational understanding of hardware-related development with C/C++. This position offers the chance to shape the future of energy supply in an international, innovative environment.
Required Skills
Education
Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, or a comparable field
Experience
- Long-term knowledge in Machine Learning, Deep Learning, and Data Analysis
- Application experience in energy technology (ideally)
- Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn
- Knowledge in modeling and simulation of electrical networks or willingness to learn
- Basic experience with hardware-related development in C/C++
Languages
Additional
- Not specified
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