AI Energy Systems Engineer

At Sunlight Group, we are pioneering the future of energy storage for industrial and advanced technology applications, driven by a genuine passion for performance and continuous improvement. We operate with a deep awareness of our environmental impact, fostering a culture of openness and respect in all our interactions. With a strong customer focus, we relentlessly leverage data and insights to develop innovative solutions that empower our clients and enhance our shared ecosystem. Embracing an entrepreneurial spirit, we cultivate an agile and collaborative environment where our people are inspired through open communication, continuous learning, and the opportunity to unlock their full potential.

Our Vision: Transforming Energy Storage Solutions To Power A Sustainable Tomorrow.

Our Mission: We deliver cutting-edge, high quality energy storage solutions for industrial and advanced technology applications, driving an all-electric future.

We are looking for an AI Energy Systems Engineer to join our R&D Smart Energy Systems team. The role combines artificial intelligence, energy management, and applied engineering, to develop, and implement AI-driven solutions for optimizing energy storage, distribution, and grid interaction across industrial, commercial, and renewable energy systems. The position offers the opportunity to contribute directly to the advancement of AI-driven clean energy systems, working in a team committed to pioneering intelligent and sustainable infrastructure.

Key activities and responsibilities of the role include:

• Design and deploy AI/ML models, particularly neural networks for load forecasting, energy storage optimization, anomaly detection in grid operations, predictive maintenance and fault classification among other features
• Integrate machine learning pipelines into operational Energy Management Systems (EMS) and SCADA architectures
• Develop and simulate electrical power system models and apply reinforcement learning or optimization algorithms to dynamic energy problems
• Create robust data pipelines and preprocessing frameworks for training on large volumes of time-series sensor data
• Collaborate cross-functionally with software, hardware, and power systems engineers to deploy intelligent energy solutions at scale
• Maintain high-performance codebases primarily in Python (with TensorFlow, PyTorch, scikit-learn, Pandas, etc.), and use MATLAB, C++ as needed
• Contribute to the architecture of AI services integrated with real-time control systems or cloud-based energy platforms

• Bachelor's, Master's, or PhD in Electrical Engineering, Computer Science, Machine Learning, or related fields
• A minimum of 4-years of industry or academic experience working on AI/ML for energy systems
• Very good understanding of developing and deploying learning models, particularly for time-series or control-oriented tasks
• Solid grasp of electrical power systems, battery dynamics, and grid interaction principles
• Excellent software engineering skills with version control and modular design principles
• Familiarity with online learning, real-time inference, or edge-deployed AI models
• Experience with digital twins, physics-informed neural networks (PINNs), or hybrid AI/control system models
• Excellent written and verbal knowledge of English

To start with, we give you the opportunity to thrive in a restless team and grow your potential in an innovative environment. As per your compensation and rewards package, this is a preview:

Competitive salary package and bonus scheme

Health and life insurance for you and your family

Employee wellness program & initiatives

Continuous training opportunities

Clear career paths & a developmental 360° feedback framework

International mobility opportunities