Machine Learning Operations Engineer (Databricks)

Location: Must be based in Kuala Lumpur, Malaysia (Hybrid: 1 day/week in office). No visa sponsorship provided.

Company

hirify.global is a global business improvement and standards company dedicated to helping organizations tackle critical issues and build trust through expertise and innovation.

What you will do

• Design and maintain end-to-end ML pipelines on Databricks, including data preparation and model training.
• Develop production-grade Python and Spark solutions following software engineering best practices.
• Implement MLOps capabilities such as MLflow, model versioning, and lifecycle management.
• Build and manage CI/CD pipelines for automated testing, deployment, and environment management.
• Monitor production models for performance, data quality, and operational issues.
• Collaborate with security and governance teams to ensure compliance and audit readiness.

Requirements

• Must be based in Kuala Lumpur, Malaysia.
• No visa sponsorship available for this role.
• Proven experience delivering ML/Analytic solutions across data disciplines.
• Hands-on experience operating Databricks or comparable lakehouse platforms.
• Experience implementing MLOps practices including CI/CD, versioning, and monitoring.
• Strong communication skills for cross-functional collaboration with data scientists and stakeholders.

Culture & Benefits

• Flexible working arrangements with a hybrid office policy.
• Comprehensive insurance coverage including group hospitalisation, surgical, and life insurance.
• Generous leave policy including 16 days annual leave, plus paid maternity, paternity, marriage, and bereavement leave.
• Ongoing learning and development opportunities with a global team.
• Internet and phone allowances provided.