انتهت صلاحية هذا الإعلان الوظيفي

انتهت بتاريخ ١٣ أبريل ٢٠٢٦

Machine Learning Engineer (on-site)

Kuwait Cityحضوري
Graph Neural Networks (GCN, GraphSAGE)PyTorch GeometricDGLPythonNumPySciPyGraph theory

وصف الوظيفة

Develop and deploy Graph Neural Network (GNN) based surrogate models that approximate complex physics simulations for oil & gas pipeline and well networks.

المسؤوليات

  • Design and implement Neural Network architectures to model flow dynamics.
  • Build surrogate models to predict pressure distributions and flow rates.
  • Create data pipelines to extract network topology.
  • Develop training frameworks that incorporate physics constraints.
  • Collaborate with petroleum engineers.

معلومات الوظيفة

تم النشر

١٢ فبراير ٢٠٢٦

مستوى الخبرة

mid level

الحالة

منتهية الصلاحية