Advanced Pipeline Optimization Specialist

2 weeks ago

tumakuru, India beBeeMachineLearning Full time

Job SummaryMaintain and improve pipeline efficiency through innovative machine learning solutions.Responsibilities:Design and implement complex neural network architectures to model fluid dynamics in interconnected systems.Create data pipelines that extract network topology and simulation results from physics-based models, transforming them into graph representations for analysis.Develop training frameworks that incorporate physical constraints into neural network loss functions, ensuring accurate predictions.Collaborate with petroleum engineers to validate model outputs against real-world behavior and operational constraints.Implement continuous monitoring, validation, and improvement workflows to refine the model's performance.Technical RequirementsDeep expertise in Graph Neural Networks (GCN, GraphSAGE, Message Passing Networks) and their applications in engineering.Strong understanding of deep learning frameworks (PyTorch Geometric, DGL, or TensorFlow GNN).Experience in building surrogate models or physics-informed neural networks (PINNs) for predictive analytics in engineering disciplines.Proficiency in Python programming language and scientific computing libraries (NumPy, SciPy, Pandas).EducationPursue a Master's or Doctoral degree in Computer Science, Computational Engineering, Applied Mathematics, or related fields.Nice-to-Have SkillsBackground knowledge in petroleum engineering, process engineering, or fluid dynamics.Publications or contributions to open-source projects in graph machine learning.Industry ExperiencePrior experience in the oil and gas industry is highly valued.

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