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 withadvances 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 understandingof 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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