Machine Learning Engineer to Energy Efficiency Solutions

5 days ago


Gothenburg, Västra Götaland, Sweden Eneryield Full time
Key Responsibilities
In this role, you will lead the development of advanced machine learning solutions while bridging academic research and real-world applications. Your key responsibilities include:
  • Innovative Model Development: Researching and experimenting with cutting-edge AI approaches (deep learning, probabilistic modeling, signal processing, reinforcement learning, etc.) to tackle power system reliability challenges.
  • Feature Engineering: Designing creative and robust features from diverse data sources (time-series, sensor data, SCADA signals, etc.) to uncover insights critical for fault detection and system optimization.
  • Algorithmic Research & Validation: Keeping up with the latest academic literature, turning promising concepts into production-ready solutions, and validating performance through rigorous experimentation.
  • Collaboration & Mentorship: Collaborating with team members to translate complex research into actionable solutions. Mentoring junior engineers and contributing to a culture of continuous learning.
  • Scalable Deployment & Integration: Working with our software engineering team to integrate advanced AI models into Eneryield's platform, ensuring efficiency, scalability, and reliability in a cloud environment.
  • Explainability & Transparency (XAI): Championing model interpretability, ensuring stakeholders understand the decision-making processes behind our AI-powered solutions.

Requirements
To succeed in this role, you should have:
  • A PhD in AI & ML, Computer Science, Electrical Engineering, Applied Mathematics, or a related field (or equivalent experience).
  • Proven experience conducting original research and driving AI/ML projects from concept to deployment.
  • Deep understanding of machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Experience with advanced feature engineering, especially for time-series or sensor data.
  • Strong programming skills in Python; familiarity with other languages is a plus.
  • Ability to critically read and evaluate academic papers, translating findings into implementable solutions.
  • A collaborative spirit, comfortable working in a fast-paced startup environment.


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