Senior Model Automation Engineer
oraclecloud
Job Description
- Suggest, design, and implement modelling automation routines to improve workflow efficiency in cooperation with the energy and economic modelling teams.
- Design and maintain data workflows and quality assurance processes for large modelling databases (inputs, intermediate outputs, and results).
- Develop and operate automated data extraction pipelines via APIs to feed models with timely and consistent datasets.
- Configure and use HPC/cluster computing and parallel processing solutions to run large-scale simulations and batch model runs.
- Develop and maintain internal tools and scripts for workflow orchestration, including scheduling, monitoring, and logging of model runs.
- Help develop and maintain internal tools for version control, continuous integration, unit testing, backup and documentation using Git/GitHub and similar applications.
- Build dashboards and visual analytics in Power BI or equivalent tools for monitoring model performance, scenario results, and key indicators.
- Integrate LLM-based components into modelling workflows for data processing, semi-automated calibration, and result summarization.
- Liaise with the Data Science group and modelling teams for the exchange of tools and methods, ensuring best practices in automation and data management are adopted.
- Assist with troubleshooting and problem-solving when issues arise in automated pipelines, HPC jobs, or LLM-powered tools.