Description
GreenPowerMonitor, a DNV company, is at the heart of the general energy transformation. We use data-driven digital solutions to optimise the performance of renewable energy installations around the world. Our work contributes to a more diverse, more sustainable global energy mix.
We are looking for an ML Engineer to help create, productize and evolve generative AI solutions on Horizon, GreenPowerMonitor’s cloud platform that transforms renewable energy operational data into actionable insights for monitoring, optimization, and decision-making.
This is a hands-on, impact-driven role where you will build LLM-powered agents and embed them directly into a production system used by renewable energy professionals worldwide. You will work closely with product managers and software engineers to design, deploy, and maintain production-grade AI systems, starting with a user-oriented AI assistant embedded in Horizon.
Over the course of the year, your work will support the strategic goal of enriching Horizon with LLM models,



starting with a predictive maintenance module and evolving the platform to become more autonomous and intelligent for users, turning operational data into actionable insights.
What You’ll Do:
- Connect to diverse data sources within the Horizon platform, including operational data, structured metadata, and technical documentation, and design Retrieval-Augmented Generation (RAG) pipelines for scalable AI systems.
- Extract, transform, and structure data for optimal use with LLMs, manage embeddings, indexing, and context retrieval, and ensure AI models are grounded in accurate, real-world information.
- Design, deploy, fine-tune, and continuously improve production-grade LLM and multimodal agents, optimizing prompts, mitigating hallucinations, and evaluating performance to deliver reliable, context-aware outputs.
- Build and maintain client-facing AI assistants and chatbots, explaining system behavior, capabilities, and limitations to both technica

📌 ML Engineer – Generative AI (Barcelona)
🏢 Dnv
📍 Barcelona