Engineer

Attention MLOps Engineers! Join the unique jointMLOps Team at KNMI and Deltares. Are you ready to use your Machine Learning Operations expertise to help us unlock thepower of Machine Learning models and bring them from research into operational use?JoinJoin, and help shape, the newly established Intelligent Modelling Lab for Weather,Climate and Water (iML-WKW). What you can expect as MLOps EngineeriML-WKW is a joint initiative between Deltares, KNMI, and Rijkswaterstaat. The focus ofthe team is on developing a robust, open, and future-proof digital infrastructure for next-generation models. You will be one of the 8 team members in this newly formed teamwithin Deltares and KNMI. Both institutes are hiring multiple positions. The goal is to enable faster, more scalable, more reliable secure data-driven modelinginfrastructure models for weather forecasting, water management, and climateadaptation. By combining advances in artificial intelligence, high-performance computing,and proven physics-based models, iML-WKW strengthens the Netherlands' ability toanticipate and respond to extreme weather, water risks, and long-term climate change. Your activities You will work at the intersection of machine learning, DevOps, and data engineering. Aspart of a newly assembled team spanning Deltares, KNMI, and Rijkswaterstaat, you willplay a key role in shaping the infrastructure for machine learning pipelines. You bringdevelopers, scientists and users together, align technical efforts, and help lay thefoundation for a robust and reproducible ML environment. You will help researchersadopt reproducible, operational ways of working by shaping the guidelines, processesand practices that make the transition from research to operations faster, smoother andmore reliable. You will work in an agile framework with Matthijs (Deltares) as yourScrummaster and Joost (KNMI) as your product owner. How you contributeAs an MLOps Engineer, you ensure AI/ML models ar...