Machine Learning Engineer — Production ML (Flexible Hours)

Gen Digital Inc.; Malaysia; On-site; MYR 120,000 - 180,000; Full time

Job summary

Gen Digital Inc. is seeking a Machine Learning Engineer in Kuala Lumpur to build and maintain high-performing ML systems. You will prototype, implement and experiment with ML methods to solve business use cases, and lead automation of ML workflows in production.

You will collaborate with Data Scientists and MLOps teams to enforce best practices and governance, delivering measurable business impact through robust models and scalable pipelines.

Qualifications

• Hands-on experience in ML, predictive analytics and statistical modelling.
• Experience deploying ML models in production environments.
• Strong Python and SQL programming skills.
• Familiar with MLOps tools and cloud services.
• Ability to frame business problems as ML opportunities.

Responsibilities

• Frame and contextualize machine learning problems.
• Research, build and design ML systems and models to solve business problems.
• Analyse data to select datasets for modelling and testing.
• Prototype and implement ML algorithms to improve products.
• Design and monitor ML experiments and metrics.
• Perform statistical analysis to prove business impact of models.
• Automate ML processes and pipelines across systems.
• Collaborate with MLOps Engineers and Data Scientists to improve architectures.
• Develop tools and libraries to support model governance.

Skills

Python

SQL

Machine learning

Statistical modelling

Problem solving

Communication

Tools

AWS

Docker

Kubernetes

MLflow

DVC

Seldon

Metaflow

XGBoost

scikit-learn

Job description

Gen Digital Inc. is seeking a Machine Learning Engineer in Kuala Lumpur to build and maintain high-performing ML systems. You will prototype, implement and experiment with ML methods to solve business use cases, and lead automation of ML workflows in production.

You will collaborate with Data Scientists and MLOps teams to enforce best practices and governance, delivering measurable business impact through robust models and scalable pipelines.