MLOps AI Engineer - Hybrid (Remote + 1 Onsite, KL)

DSR Global; Kuala Lumpur; Hybrid; MYR 90,000 - 180,000; Full time

Job summary

DSR Global is seeking an MLOps AI Engineer to join a global client delivering scalable, production-grade AI and ML solutions. The role is permanent with a hybrid work model: remote with one day onsite weekly in Kuala Lumpur, Malaysia.

You will design end-to-end ML pipelines on Databricks, implement MLOps across the lifecycle, and collaborate with cross-functional teams to ensure secure, compliant deployments. 1–3 years of relevant experience required.

Qualifications

• 1–3 years of ML/analytic experience required.
• Hands-on with Databricks or comparable lakehouse platforms.
• Experience implementing MLOps across the model lifecycle (CI/CD, versioning, monitoring).
• Collaborate with data scientists, data engineers, product and risk teams to deliver production AI/ML.

Responsibilities

• Design and maintain end-to-end ML pipelines on Databricks (data prep, feature engineering, training, deployment).
• Develop production-grade Python/Spark solutions with software engineering best practices.
• Implement and manage MLflow, model versioning, and deployment governance.
• Build and maintain CI/CD pipelines for ML solutions with automated testing and environment mgmt.
• Monitor production models for performance, data quality, and drift.

Skills

MLOps

Python

Spark

CI/CD

Model lifecycle

Security & governance

Tools

Databricks

MLflow

Git

CI/CD tools

Job description

DSR Global is seeking an MLOps AI Engineer to join a global client delivering scalable, production-grade AI and ML solutions. The role is permanent with a hybrid work model: remote with one day onsite weekly in Kuala Lumpur, Malaysia.

You will design end-to-end ML pipelines on Databricks, implement MLOps across the lifecycle, and collaborate with cross-functional teams to ensure secure, compliant deployments. 1–3 years of relevant experience required.