Top Machine Learning Jobs in Kuala Lumpur

Design, build, deploy and operate end-to-end ML pipelines on Databricks. Develop production-grade Python and Spark code, implement MLOps practices (MLflow, CI/CD, versioning, monitoring), ensure reproducibility, security and governance, monitor model/data performance, and collaborate with data science, engineering and product teams to deliver scalable, compliant ML services.

Build scalable, cloud-native backend services, large-scale data pipelines, and production ML model deployment on AWS. Own data storage (relational and vector/search), CI/CD, monitoring, and collaborate with ML and frontend engineers to deliver AI-assisted coding and agentic features.