- Scope optimization opportunities with customers, including objectives, constraints, and value cases.
- Plan modeling work, manage project schedules, and own the technical relationship with customer engineers.
- Analyze plant time-series data to assess feasibility and data quality.
- Build and evaluate inferential models, process response models, and closed-loop optimizers.
- Assess whether learned relationships reflect the real process and explain model departures from first principles.
- Commission models on site, train operators and engineers, and monitor closed-loop performance through customer sign-off.
- Troubleshoot deployed models and retrain them around turnarounds and process changes.
- Support plant data connections, tag configuration, and integration between the platform and control systems.
- Develop automations, documentation, and training that help customers build, evaluate, and monitor models.
- Share field insight with Product and R&D teams.
PythonMachine Learning