AI & ML Engineer

Western Natural Resources is hiring an AI/ML Engineer to build machine learning models and analytics applications that support technical and commercial decisions. The role develops and deploys models and user-facing tools on the Databricks lakehouse, partnering with stakeholders and data engineering to validate, monitor, and improve solutions.

Responsibilities:

• Work directly with engineers and business stakeholders across reservoir engineering, operations, accounting, and land to understand the problems they face and turn them into well-scoped analytics solutions
• Build, train, validate, and deploy machine learning models in Databricks - forecasting, predictive, and optimization models that support operating and capital decisions, using MLflow to track experiments and manage model versions
• Build applications and dashboards that put model outputs in front of users across the company - tools people use to make decisions, not one-off analyses
• Develop with agentic AI coding tools (Claude Code or similar) to prototype and ship quickly, verifying results against the data and against the judgment of the people who will use them
• Validate models rigorously: backtest, quantify uncertainty, and explain in plain terms where a model can and cannot be trusted
• Deploy and monitor models and applications in production - including retraining and catching drift or degraded results before a user does
• Partner with the data engineering team to build on the lakehouse's curated tables, and bring data needs back to the platform
• Work alongside users through iteration: gather feedback, refine the tools, and document and train so adoption sticks