Senior Machine Learning Engineer (AI/ML)

TL;DR

Senior Machine Learning Engineer (AI/ML): Turning innovative ML research into scalable, real-world solutions for global consumer intelligence with an accent on productionizing prototypes and MLOps. Focus on designing and maintaining end-to-end ML workflows in cloud and on-prem environments.

Location: Hybrid in Kuala Lumpur, Malaysia

Salary: MYR 72,000 - 151,200 yearly

Company

The world’s leading consumer intelligence company delivering the Full View of consumer buying behavior through advanced analytics and state-of-the-art platforms.

What you will do

• Design, develop, and deploy scalable machine learning solutions using software engineering best practices.
• Transform data science prototypes into production-ready systems for global applications.
• Manage end-to-end ML workflows using MLOps practices across cloud and on-prem environments.
• Collaborate with international cross-functional teams of data scientists, engineers, and product experts.
• Develop tools and best practices to elevate the company's ML engineering standards.
• Mentor team members and contribute to internal Communities of Practice.

Requirements

• Degree in Computer Science, Engineering, Statistics, or a related field (BSc, MSc, or PhD).
• 4+ years of experience in machine learning software development.
• Strong proficiency in Python and experience with ML libraries and frameworks.
• Solid experience with large-scale database environments and production-level code quality.
• Knowledge of containerization and orchestration using Docker and Kubernetes.
• Professional working proficiency in English.

Nice to have

• Experience with cloud environments such as AWS or 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

• Flexible and hybrid working environment.
• Access to ongoing training and LinkedIn Learning for professional growth.
• Employee-Assistance-Program (EAP) and volunteer time off.
• Opportunity to work with the latest digital technologies in a global setting.