Machine Learning Engineer

📋 Description

• Design, develop, test, deploy, maintain and enhance data science solutions using software
• Study and convert data science prototypes to production quality DS/ML Solution
• Implement machine learning solutions at a large scale, in on-premises or cloud-based environments
• Create and improve methods and tools and contribute to best practices in the area of Data Science
• Foster ML related knowledge exchange within NIQ, especially around code quality and engineering
• Present NIQ’s MLE / DS expertise at conferences and workshops

🎯 Requirements

• Master or Bachelor degree that reflects computer science / engineering and statistical /
• Typically 2+ years of work experience
• Solid experience with production-level code quality metrics and working closely with software and
• Expert skills in Python and the respective statistical ecosystem
• Solid statistical skills: either in survey statistics (sampling, non-response adjustments, Bayesian
• Experience working with docker

🎁 Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)