Energy Technology Expert to AI Development Lead

5 days ago


Gothenburg, Västra Götaland, Sweden Eneryield Full time
About the Role
As an AI Research Engineer at Eneryield, you will play a vital part in developing pioneering AI solutions that make power grids smarter, safer, and more sustainable. This role offers a unique opportunity to apply your expertise in machine learning and AI to drive real-world impact and shape the future of energy.

You will be responsible for leading the development of advanced machine learning models, working closely with a cross-functional team to design and validate novel algorithms and features. Your expertise will help us uncover new insights and improve the accuracy of our AI-powered solutions.

Responsibilities
- Innovative Model Development: Develop cutting-edge AI approaches to tackle power system reliability challenges
- Feature Engineering: Design creative and robust features from diverse data sources to uncover insights critical for fault detection and system optimization
- Algorithmic Research & Validation: Keep up with the latest academic literature, turn promising concepts into production-ready solutions, and validate performance through rigorous experimentation
- Collaboration & Mentorship: Collaborate with team members to translate complex research into actionable solutions, mentor junior engineers, and contribute to a culture of continuous learning
- Scalable Deployment & Integration: Work 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): Champion model interpretability, ensuring stakeholders understand the decision-making processes behind our AI-powered solutions

Qualifications
- 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
- Collaborative spirit, comfortable working in a fast-paced startup environment

Benefits
Working at Eneryield offers a range of benefits, including:
  • A high-impact role that directly shapes our product and the future of energy
  • A dynamic startup culture that fosters creativity, rapid iteration, and strong collaboration among a close-knit team
  • Access to an extensive network of resources and growth opportunities as partners of AI Sweden and Chalmers Ventures


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