Machine Learning Engineer in Genève

You will design and deploy machine learning systems for real-time threat detection and anti-abuse protection, combining ML with security engineering.Your tasksDesign and deploy scalable ML systems using modern MLOps practices, including real-time inference and monitoringArchitect agentic AI systems for autonomous threat detection and adaptive policy enforcementBuild tools for model development, debugging and explainabilityOptimize ML workflows for distributed environments handling large-scale dataCollaborate with security analysts and backend/frontend engineersAdvance ML techniques for anti-abuse and account securityWhat you bringDegree in Computer Science or a related quantitative field2+ years hands-on experience building and running ML systemsProduction-level ML expertise with models at real-world scaleHands-on experience with LLMs in agentic environmentsStrong proficiency in Python and backend/server fundamentalsDeep understanding of probability, hypothesis testing and experimental designConditionsWorkload: 100 %Work model: On siteOption of a permanent position after the assignment if both sides want itWhat to expect3–6 months interim, then a permanent positionTechnologiesPythonLLMs #J-18808-Ljbffr