For a scaling product customer, I am searching for a freelance Machine Learning Engineer with some exposure to Data Science to build a platform which optimizes large fleets of distributed energy resources turning them into flexible, grid-ready Virtual Power Plants.ResponsibilitiesDesigning and implementing machine learning models for forecasting, optimization, and control of distributed energy assetsProductionizing ML models: from research to robust, scalable, real-time systemsBuilding and maintaining ML infrastructure and data pipelines (training, inference, monitoring, retraining)Collaborating closely with energy experts and product teams to translate real-world constraints into deployable algorithmsDeveloping backend software that integrates AI models into their orchestration platformImproving system performance, reliability, and observability in mission-critical environmentsProfileSolid experience as an Machine Learning Engineer, Applied Scientist, or Software Engineer with strong ML exposureProven ability to deploy ML models into production systems, not just notebooksGood knowledge of Python, data & streaming, MLOps and cloud infrastructureExperience with time-series data, optimization problems, or real-time decision systemsExposure to Data ScienceA pragmatic mindset: you care about solutions that work in the real worldClear communication and a collaborative approachExperience in energy systems, energy data, IoT, or large-scale optimization is a bonusAdditional DetailsSENIORITY: Medior/SeniorSTART DATE: MarchDURATION: 12 MonthsEXTENSION: YesCONTRACT: FreelanceLOCATION: AntwerpONSITE POLICY: ~2 days per week (or equivalent each month)HOURS PER WEEK: 40LANGUAGES: Fluent EnglishINTERVIEW PROCESS: 2 stagesIf you are interested, please forward your updated resume to jay.kukoyi@vividresourcing.com to be considered.