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 arerobust, 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 communicatecomplex AI concepts clearly to technical and non‑technical stakeholders; - Fluency in written andspoken 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 witha 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 willbe conducted on all final candidates in accordance with applicable country-specific laws and practices.#J-18808-Ljbffr

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