ml engineer for renewable energy asset monitoring (Madrid)

ml engineer for renewable energy asset monitoring (Madrid)

10 sep
|
Enfint
|
Madrid

10 sep

Enfint

Madrid

Описание: DNV is an independent expert in assurance and risk management. Its Energy Systems division helps customers navigate the transition to a decarbonized and sustainable energy future by assuring that energy systems operate safely and effectively through increasingly digital solutions. Digital and Data Solutions develops software and data-driven solutions for challenges in energy, infrastructure, and sustainability.
Задачи:

Design and implement a scalable architecture for role-based AI agents supporting asset management, asset ownership, O&M;, predictive maintenance, trading, and analytical workflows;
Define agent responsibilities, tools, interaction patterns, task delegation, context sharing, and hand-offs between specialised agents;
Integrate agents with Horizon data sources, including operational time-series data, alarms, events, asset metadata, analytical results, forecasts, reports, logbooks, and technical documentation;
Build evaluation frameworks and representative test datasets covering answer quality, groundedness, tool selection, workflow completion,



hallucination risk, safety, regression, latency, and operational reliability;
Implement observability and traceability across agent execution, including prompts, retrieved context, tool calls, model responses, decisions, failures, and user feedback;
Deploy and operate AI services in production with software and platform engineers;
Collaborate with renewable energy domain experts to ensure agent outputs are technically meaningful, evidence-based, and appropriate for operational decision-making;
Stay informed about developments in LLMs, agent orchestration, multimodal systems, evaluation, and AI engineering, and assess them for production use.
Требования:

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, or a related field, or equivalent practical experience;
Proven experience building AI agents, agentic workflows, or AI assistants, preferably in pro

📌 ml engineer for renewable energy asset monitoring (Madrid)
🏢 Enfint
📍 Madrid

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