Machine Learning Engineer (AI)

Location: Hybrid in Kuala Lumpur, Malaysia

Company

hirify.global is a consumer intelligence company using analytics, machine learning, and artificial intelligence to deliver insights into consumer buying behavior and market trends.

What you will do

• Design, develop, test, deploy, and maintain scalable machine learning solutions using software engineering best practices.
• Transform data science prototypes into robust, production-ready systems for real-world applications.
• Implement and manage end-to-end ML workflows with MLOps practices across cloud and on-premises environments.
• Collaborate with data scientists, software engineers, testing engineers, and product experts in international cross-functional teams.
• Develop tools, methods, technical roadmaps, and best practices to improve ML engineering standards.
• Mentor colleagues, contribute to Communities of Practice, and support training and cross-functional learning.

Requirements

• Bachelor’s, master’s, or doctoral degree in computer science, engineering, statistics, or a related field.
• 4+ years of experience in machine learning software development.
• Strong Python skills, experience with ML libraries and frameworks, and a solid understanding of statistical methods and machine learning algorithms.
• Experience with large-scale database environments and production-level code quality.
• Knowledge of Docker, Kubernetes, and collaboration with software and testing engineers.
• Professional working proficiency in English and the ability to work independently and asynchronously in a distributed team.

Nice to have

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

Culture & Benefits

• Flexible working environment with hybrid work.
• Ongoing training and LinkedIn Learning access.
• Volunteer time off and an Employee Assistance Program.
• Opportunities for personal and professional growth.
• Access to modern digital technologies and collaborative international work.