Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Engineer (Python): Building and deploying scalable data science and machine learning solutions for global market research products with an accent on production-grade software engineering, statistical modeling, and large-scale implementation. Focus on converting prototypes into reliable systems, optimizing performance, and maintaining solutions across on-premises and cloud environments.
Location: Hybrid role in Kuala Lumpur, Malaysia
Company
hirify.global is a global consumer intelligence company providing market research, advanced analytics, and consumer buying behavior insights through scalable technology platforms.
What you will do
Design, develop, test, deploy, maintain, and enhance data science solutions using software engineering best practices.
Convert data science prototypes and proof-of-concepts into production-quality machine learning solutions.
Implement machine learning systems at scale in on-premises and cloud-based environments.
Design production architectures, optimize performance, and ensure code quality and maintainability.
Develop methods and tools, contribute to data science best practices, and support knowledge exchange across NIQ.
Present machine learning engineering and data science expertise at conferences and workshops.
Requirements
Bachelor's or master's degree reflecting computer science, engineering, statistics, or mathematics.
Typically 2+ years of professional experience.
Strong experience with production-level code quality metrics and collaboration with software and testing engineers.
Expert-level Python skills and experience with the relevant statistical ecosystem.
Strong statistical skills in at least one area: survey statistics, econometric modeling, observational causal inference, or experimental design.
Experience working with Docker and communication skills in an English-speaking business environment.
Culture & Benefits
International, collaborative team with colleagues across the US, Germany, Poland, and Italy.
Flexible working environment.
Volunteer time off.
LinkedIn Learning access.
Employee Assistance Program.
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