About this role
Xomnia logo Xomnia career Xomnia logo Xomnia career Machine Learning Engineer - On-site - - Amsterdam , Noord-Holland , Netherlands - €4,300 - €6,500 per month - Core Team Job description As a Machine Learning Engineer at Xomnia, you will build AI systems that make it out of the notebook. Feature pipelines, model serving, evaluation, monitoring, CI/CD: the engineering that turns a promising model into something a client's team actually uses every day. Part of that work is classical ML. A growing part of it is LLM-based: RAG pipelines, agentic workflows, and GenAI applications running in production. You do this as a consultant, which means you carry both the engineering and the conversation with the people who have to work with what you build. See yourself doing this? Then read along! What you will work on Three recent projects from our AI unit: - Enexis : a forecasting model that predicts which excavation works risk damaging underground cables. We took it from a standing prototype to the central tool the prevention team works with. - Sea Turtle Conservation Bonaire : a computer vision model that identifies individual sea turtles by their facial pattern, so researchers can track them without invasive tagging. - KLM : two delay prediction models, built and deployed on Kubernetes with a CI/CD setup that lets the team ship an improvement in minutes. The models produce around 18.000 predictions a month and feed the tools that decide whether to swap an aircraft or reschedule a flight. Our AI work concentrates in a couple of verticals, such as energy & utilities, finance & insurance and AI for Good. At VodafoneZiggo we run GenAI applications across several customer service use cases, with our GenAI Lead stepping in as a technically focused Product Owner. Job requirements Your role as MLE - Take models from experiment to production: feature engineering, data pipelines, model serving, monitoring, and CI/CD. - Build GenAI applic...