Machine Learning (ML) Engineer (AzureML, Python) - Malaysia

We are seeking a Machine Learning Engineer to join a large-scale data transformation program for a major telecommunications client under a leading global consulting firm.

This role is responsible for model maintenance, automation of ML training pipelines, and end-to-end model lifecycle management in AzureML environments. The ML Engineer will work closely with data scientists and data engineers to productionize experimental models , ensure scalability, and maintain continuous optimization of model performance in production.

The Role

• Design, build, and maintain robust and scalable machine learning models using AzureML .
• Develop reusable components for model training, evaluation, deployment, and monitoring.
• Implement automated retraining and model performance tracking workflows to manage model drift and accuracy degradation.
• Optimize models for accuracy, latency, scalability, and cost efficiency across environments.
• Collaborate with data scientists and engineers to productionize models using modern DevOps and MLOps practices.
• Deploy models through APIs or microservices, ensuring reliability, reproducibility, and maintainability.
• Maintain technical documentation for model architectures, configurations, and performance metrics.

The Expertise

Education & Certifications

Experience & Background

Must-Have Technical Skills

Preferred Skills

Other Relevant Information

About us.

Thakral One is a consulting and technology services company headquartered in Singapore, with a pan‑Asian presence. We focus primarily around technology‑driven consulting, adoption of value‑added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes. This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer‑oriented organisations.

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