Machine Learning Engineer

About the role

NIQ, a consumer intelligence company combining GfK and Nielsen, is looking for a Machine Learning Engineer in Kuala Lumpur. The role sits in an international, collaborative team with colleagues in the US, Germany, Poland and Italy, focused on market research and brand management. It bridges data science and software engineering: taking ownership of turning proof-of-concept models into reliable, scalable systems, from architecture and performance tuning to deployment across global environments.

Key responsibilities

• Design, develop, test, deploy, maintain and enhance data science solutions using software engineering best practices.
• Convert data science prototypes into production-quality data science and machine learning solutions.
• Implement machine learning solutions at large scale, on-premises or in the cloud.
• Create and improve methods and tools, and contribute to data science best practices.
• Foster knowledge exchange on code quality and engineering best practices within NIQ.
• Present NIQ's machine learning and data science expertise at conferences and workshops.

Required profile

• Master or Bachelor degree in computer science, engineering or a field reflecting statistical and mathematical skills.
• Typically 2+ years of work experience.
• Solid experience with production-level code quality metrics and close collaboration with software and testing engineers.
• Expert Python skills and solid statistical skills, such as survey statistics, econometric modelling, causal inference or experimental design.
• Experience working with Docker.
• Good communication in an English-speaking environment, organisation, attention to detail and analytical problem-solving.

What we offer

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