AI Expert Engineer
hace 1 día
AI Engineer – Hybrid Models & Process Digital Twins
Role 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.
-
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