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 adaptable 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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