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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