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 datewith advances in generative AI, agent‑based systems, and instruction‑tuned models;

- Experiment withframeworks 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. xhfqzwm

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 withRAG pipelines, embeddings, and prompt optimization;

- Strong understanding of Transformer architectures and fine‑tuning;

- Proficiency in Python;

- Curiosity, adaptability, and a proactive approach;

- Ability to takeownership 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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