ML Engineer – Generative AI

AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

GreenPowerMonitor, a DNV company, is looking for an ML Engineer to create, productize and evolve generative AI solutions on Horizon, GreenPowerMonitor's cloud platform that transforms renewable energy operational data into actionable insights. You will build LLM-powered agents for production systems serving renewable energy professionals globally, working alongside product managers and software engineers, and take AI solutions from concept to production, building AI that directly supports the operation and optimization of renewable energy assets at global scale.

Key responsibilities:

  • Connect to diverse data sources and design Retrieval-Augmented Generation (RAG) pipelines for scalable AI systems.
  • Extract, transform, and structure data for LLMs, managing embeddings and context retrieval.
  • Design, deploy, fine-tune, and continuously improve production-grade LLM and multimodal agents.
  • Build and maintain client-facing AI assistants and chatbots with clear explanations of their capabilities and limitations.
  • Stay up to date with advances in generative AI, agent-based systems, and instruction-tuned models.
  • Collaborate with product and software teams to move AI solutions from concept to production.

Requirements:

  • Master's degree or equivalent in Mathematics, Data Science, Computer Science, Machine Learning, or a related field.
  • Hands-on experience with Large Language Models or generative AI systems.
  • Experience with RAG pipelines, embeddings, and prompt optimization.
  • Strong understanding of Transformer architectures and fine-tuning.
  • Proficiency in Python.
  • Familiarity with CI/CD, Docker, Kubernetes, and Git (preferred).
  • Fluency in written and spoken English.
  • Willingness to present a short report or demo of a built AI agent during the interview process.

What we offer: professional development following a 70/20/10 learning model, medical scheme, life insurance, pension plan, commuting and kindergarten allowances, 40-hour week with flexible schedule, home-working allowance (up to 2 days weekly), 23 days annual leave, employee referral scheme, and a global profit share scheme.

Locations: Barcelona (Spain), Madrid (Spain), Milano (Italy), Gdynia (Poland), Oslo (Norway), Bristol (UK), London (UK). Hybrid working (up to 2 days per week remote).

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