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The energy category requires skills in "Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Experience with physics-based simulators and computational modeling. Knowledge of predictive maintenance techniques and tools. Expertise in Computer Vision, Natural Language Processing (NLP), Time Series analysis. Experience with AI techniques and tools for operational improvements. Experience with software engineering practices, agile methodologies, DevOps, version control Experience working in Azure Databricks or any other data science frameworks Proficiency in programming languages such as Python. Software testing and development practices (Agile) Prior experience in operations, oil & gas, wells, or subsurface domain applications is highly desirable. Strong understanding of statistical analysis and data visualization tools (e.g., Tableau, Power BI).".