AI Expert Engineer (NN, Deep Learning, Agents)
hace 2 días
Madrid
AI Engineer – Hybrid Models & Process Digital TwinsRole Overview The AI Engineer will design and implement hybrid models that combine first-principles (physics-based) modeling with deep learning, enabling process digital twins and AI agents for advanced simulation, optimization, and autonomous decision-making in industrial environments, mainly Oil & Gas Industry. Key Responsibilities • Develop hybrid physics-informed (first principles) and data-driven (Neural Networks and others) models., • Build and deploy deep learning models for industrial process applications., • Implement and maintain process digital twins using real-time and historical data., • Design AI agents that use digital twins for optimization and decision support., • Integrate AI solutions with existing industrial and cloud systems., • Ensure model robustness, validation, and lifecycle management.Core Requirements, • Engineering degree (Chemical, Systems, Electrical, Mechanical, or related)., • Strong expertise in deep learning and neural networks., • Experience with first-principles / physics-based modeling., • Advanced Python programming skills., • Experience with process modeling or digital twins., • Working knowledge of AI agents and autonomous systems.Nice to Have, • Industrial experience (energy, oil & gas, chemicals, manufacturing)., • Knowledge of optimization, control, or MPC (Multivariate Model Predictive Process Control), • Experience with MLOps, Docker, and cloud platforms., • Familiarity with multi-agent architectures.