Описание:

DNV is an independent expert in assurance and risk management. GreenPowerMonitor, a DNV company, uses data-driven digital solutions to optimize renewable energy installations and transform operational data into actionable insights for monitoring, optimization, and decision-making.

Задачи:

- Connect to diverse data sources within the Horizon platform and design Retrieval-Augmented Generation (RAG) pipelines for scalable AI systems;
- Extract, transform, and structure data for use with LLMs, manage embeddings, indexing, and context retrieval, and ensure AI models are grounded in accurate information;
- Design, deploy, fine-tune, and continuously improve production-grade LLM and multimodal agents;
- Optimize prompts, mitigate hallucinations, and evaluate model performance to deliver reliable, context‑aware outputs;
- Build and maintain client‑facing AI assistants and chatbots;
- Explain system behavior, capabilities, and limitations to technical and non‑technical stakeholders;
- Integrate AI features into Horizon workflows;
- Stay up to date with advances in generative AI, agent‑based systems, and instruction‑tuned models;
- Experiment with frameworks like LangChain and collaborate on experiments using large instruction‑tuned models;
- Collaborate with product and software teams to take AI solutions from concept to production;
- Ensure AI features are robust, scalable,



and support Horizon users in monitoring, optimizing, and managing renewable energy assets.

Требования:

- 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;
- Curiosity, adaptability, and a proactive approach;
- Ability to take ownership of projects;
- Ability to communicate complex AI concepts clearly to technical and non‑technical stakeholders;
- Fluency in written and spoken English;
- Nice to have: familiarity with CI/CD, Docker, Kubernetes (K8s), and Git.

Условия:

- Medical Scheme;
- Commuting Allowance;
- Life Insurance;
- Pension Plan;
- Kindergarten Allowance;
- 40 Hours per week with a versátil schedule;
- Friday home working allowance of up to 2 days per week;
- 23 Days of annual leave;
- Employee Referral scheme;
- Coaching, mentoring, international networks, individual competence development plans, and tailored training;
- Background checks will be conducted on all final candidates in accordance with applicable country-specific laws and practices.

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