Machine Learning Engineer - R&D Solutions for Intelligent Energy Grids | Machine Learning Engineer (w/m/d) - R&D Solutions for Intelligent Energy Grids
Siemens AG
Job Summary
Join a team dedicated to shaping the future of energy supply by developing AI-powered solutions for intelligent and secure energy grids. This role involves designing and implementing AI-driven solutions for the protection and control of electrical energy networks. You will apply statistical methods, machine learning, and artificial intelligence for analyzing, forecasting, and optimizing network behavior and protection mechanisms. A key part of the role is developing algorithms for anomaly detection and real-time decision support, integrating them into products and systems. You will also contribute to collaborative research projects with universities and external partners, focusing on scalable ML solutions that enhance the efficiency and reliability of smart energy systems. This position offers the chance to work in an international environment, contribute to cutting-edge research, and make a lasting impact on the energy transition.
Required Skills
Education
Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, or a comparable field
Experience
- Extensive experience in applying supervised and unsupervised learning algorithms (Random Forest, neural networks, k-means)
- Comprehensive experience in data analysis, data cleaning, and feature engineering
- Strong statistical knowledge, especially for Machine Learning applications
- Experience with frameworks like Pandas, TensorFlow, PyTorch, scikit-learn, and gradient boosting libraries
- Knowledge in modeling and simulating electrical grids, or willingness to acquire it
Languages
Additional
- Not specified
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