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)