# AI Energy Systems Engineer

> Sunlight Group · Athens, Greece · Full-time · Posted 2025-11-05

**Workplace:** on_site

**Department:** R&D

## Description

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

## Requirements

-   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

## Benefits

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

## Apply

[Apply at Sunlight Group](https://apply.workable.com/sunlight/j/1B378FEF9A/apply)

---
Powered by [Workable](https://www.workable.com)