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4 дня назад

Machine Learning Engineer (Python)

Формат работы
onsite
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

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TL;DR
Machine Learning Engineer (Python): Building and deploying production-grade machine learning and data science solutions for global consumer intelligence products with an accent on statistical modeling, scalable architectures, and software engineering quality. Focus on converting prototypes into reliable systems, optimizing performance, and enabling deployment across on-premises and cloud environments.

Location: Kuala Lumpur, Malaysia; onsite

Company

hirify.global is a global consumer intelligence company providing retail measurement, market research, advanced analytics, and technology platforms across more than 100 markets.

What you will do

  • Design, develop, test, deploy, maintain, and enhance data science and machine learning solutions.
  • Convert data science prototypes and Proofs of Concept into production-quality systems.
  • Implement large-scale machine learning solutions in on-premises and cloud-based environments.
  • Design production architectures, optimize system performance, and maintain code quality.
  • Develop methods, tools, and engineering best practices for data science.
  • Share machine learning engineering expertise through internal knowledge exchange, conferences, and workshops.

Requirements

  • Bachelor’s or Master’s degree in computer science, engineering, statistics, mathematics, or a related field.
  • Typically 2+ years of relevant work experience.
  • Expert-level Python skills and experience with the Python statistical ecosystem.
  • Experience writing production-quality code, using quality metrics, and collaborating with software and testing engineers.
  • Strong statistical knowledge 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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