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5 дней назад

Senior Machine Learning Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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

Senior Machine Learning Engineer (AI): Building and scaling machine learning solutions for global consumer intelligence platforms with an accent on MLOps, production-ready systems, and cloud-native architectures. Focus on transforming research prototypes into robust, scalable systems and driving engineering excellence within a cross-functional, international team.

Location: Kuala Lumpur, Malaysia (Hybrid)

Company

hirify.global is a global consumer intelligence company that provides a complete understanding of consumer buying behavior through advanced analytics and AI-driven platforms.

What you will do

  • Design, develop, and maintain scalable machine learning solutions using software engineering best practices.
  • Transform data science models into production-ready systems for real-world applications.
  • Implement and manage end-to-end ML workflows using MLOps practices in cloud and on-prem environments.
  • Collaborate with global cross-functional teams including data scientists and software engineers.
  • Develop and refine tools and methods to elevate ML engineering standards.
  • Mentor team members and contribute to internal communities of practice.

Requirements

  • Degree in computer science, engineering, statistics, or a related field.
  • 4+ years of experience in machine learning software development.
  • Strong Python skills and experience with ML libraries and frameworks.
  • Solid experience with large-scale database environments and production-level code quality.
  • Knowledge of containerization and orchestration (Docker, Kubernetes).
  • Professional working proficiency in English.

Nice to have

  • Experience with cloud environments (AWS, GCP).
  • Familiarity with MLflow or similar ML lifecycle tools.
  • Experience with agile development practices.
  • Background in forecasting, pricing, revenue assurance, or media analytics.

Culture & Benefits

  • Hybrid work environment.
  • Opportunities for personal and professional growth with ongoing training.
  • Access to LinkedIn Learning.
  • Employee Assistance Program (EAP).
  • Flexible working environment and volunteer time off.

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