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13 дней назад

Machine Learning Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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