Machine Learning Engineer

📋 Description Design, develop, test, deploy and maintain data science solutions. Convert PoC models to production DS/ML solutions. Implement ML at scale in on-prem or cloud environments. Create and improve DS/ML methods and tooling. Foster ML knowledge exchange within NIQ. Present NIQ’s MLE/DS expertise at conferences/workshops. 🎯 Requirements Master or Bachelor in CS/engineering and statistics/math. Typically 2+ years of work experience. Production-quality code with software/test engineering collaboration. Expert Python skills with the statistical ecosystem. Statistical skills: survey stats, econometrics, causal inference, or experimental design. Experience with Docker. 🎁 Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP)