Maintenance of systems & services in time series forecasting (energy production from renewable parks, and energy demand from geographical regions) based on machine learning technologies:-Making of custom scripts for automatic data entry and processing, including time series (production, availability, meteorology...) and portfolio management.-EDAs: data cleaning, normalization, augmentation and visualization; cross-analysis of data; data quality checks; analysis, diagnosis, and reporting of inadequate forecasting; management of data source usage.-Making of custom scripts for outputting predictions.-Management, configuration, and deployment of operational products in an agile and precise environment of continuous updating.-Suggestions for improvement and automation, bug detection.Technologies: internal tools, Perl, PostgreSQL, PostGIS, Bash, Windows Batch, GitLab, Jenkins, Redmine, FileZilla.