Senior MLOps Engineer: AI at Scale

DKSH Group; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

DKSH Group in Kuala Lumpur is seeking an AI Engineer (MLOps) to design, deploy and operate production-grade AI/ML solutions at scale across the DKSH enterprise. You will build and maintain MLOps pipelines, deploy models on Azure, and collaborate with data scientists to productionize analytics across markets.

The role demands a strong background in Python, Databricks, CI/CD, Docker and Kubernetes, plus cloud experience and a proactive, cross-functional mindset.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• Minimum 5 years in AI engineering, MLOps, DevOps, or software engineering with production AI experience.
• Strong hands-on experience in MLOps and AI engineering.
• Proficiency in Python and best practices in software engineering.

Responsibilities

• Design, build, and maintain MLOps pipelines for training, testing, deploying, and monitoring AI/ML models.
• Engineer scalable deployment architectures across cloud environments, especially Azure, for batch and real-time inference.
• Implement automated CI/CD workflows, model versioning, rollback, and lifecycle management.
• Ensure performance, reliability, security, and cost efficiency of production AI systems.
• Monitor data drift and remediation strategies; collaborate with data scientists and engineers.

Skills

MLOps

Python

Databricks

Azure ML

CI/CD

Docker

Kubernetes

Cloud platforms

Agile

Education

BSc in CS/Engineering/Data Science

Tools

Azure DevOps

MLFlow

Job description

DKSH Group in Kuala Lumpur is seeking an AI Engineer (MLOps) to design, deploy and operate production-grade AI/ML solutions at scale across the DKSH enterprise. You will build and maintain MLOps pipelines, deploy models on Azure, and collaborate with data scientists to productionize analytics across markets.

The role demands a strong background in Python, Databricks, CI/CD, Docker and Kubernetes, plus cloud experience and a proactive, cross-functional mindset.