Role overview
We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.
What we're looking for
- Master’s degree or equivalent experience in Mathematics, Data Science, Computer Science, Machine Learning, or a related field,
- Hands-on experience with Large Language Models (LLMs) 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 (K8s), and Git is a plus, Fluency in written and spoken English.
You are curious, adaptable, and proactive, thriving in collaborative, fast-moving environments. You take ownership of projects, communicate complex AI concepts clearly to technical and non-technical stakeholders, and enjoy solving challenging real-world problems.
As part of the interview process, we ask you to submit a short report or demo of an AI agent you’ve built. This is your chance to showcase your hands-on skills and highlight your creativity.
Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.