Senior MLOps Engineer – AI Production & Cloud

DKSH Malaysia Sdn Bhd; Kuala Lumpur; On-site; MYR 180,000 - 280,000; Full time

Job summary

DKSH Malaysia Sdn Bhd seeks an AI Engineer (MLOps) within Group Digital Transformation to design, deploy, and operate AI/ML solutions at scale. You will build robust MLOps pipelines, enable cloud-based deployment on Azure, and ensure reliable, secure AI systems across markets.

The role emphasizes collaboration with data scientists and engineers, with a focus on scalable, production-grade AI. As an individual contributor, you will implement CI/CD for AI workloads, monitor models for drift, and

Qualifications

• Bachelor's degree in CS/Engineering/Data Science or related field
• 5+ years in AI/ML engineering, MLOps, DevOps, or software engineering roles
• Hands-on experience in MLOps, AI engineering, or machine learning platform roles
• Proficiency in Python and software engineering best practices
• Hands-on experience with Databricks and MLFlow for model deployment and lifecycle management
• CI/CD pipelines and automation for AI/ML workloads
• Experience with cloud platforms, preferably Microsoft Azure, including Azure ML, Azure DevOps, and container technologies
• Strong understanding of the ML lifecycle: training, inference, monitoring, retraining
• Experience with Docker and Kubernetes

Responsibilities

• Design, build, and maintain MLOps pipelines for training, testing, deploying, and monitoring AI/ML models in production.
• Engineer scalable model deployment architectures across cloud environments, including Microsoft Azure, for batch and real-time inference at enterprise scale.
• Implement automated workflows for model versioning, CI/CD, rollback, and end-to-end lifecycle management.
• Ensure production AI systems meet performance, reliability, security, and cost-efficiency requirements.
• Monitor models for data drift and performance, and implement remediation strategies.
• Collaborate with AI specialists, data scientists, and data engineers to productionize models and analytics solutions.
• Develop reusable components, frameworks, and templates to accelerate AI delivery across markets.
• Integrate AI models into enterprise systems via APIs and services.
• Support deployment of generative AI and LLM-based solutions with guardrails, observability, and controls.
• Define and enforce MLOps standards and reference architectures to mature AI engineering in the DKSH group.
• Contribute to documentation, runbooks, and knowledge sharing to uplift AI engineering capability.

Skills

MLOps

Python

Databricks

Azure ML

CI/CD

Docker

Kubernetes

Communication

Agile

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

MLFlow

Azure DevOps

Job description

DKSH Malaysia Sdn Bhd seeks an AI Engineer (MLOps) within Group Digital Transformation to design, deploy, and operate AI/ML solutions at scale. You will build robust MLOps pipelines, enable cloud-based deployment on Azure, and ensure reliable, secure AI systems across markets.

The role emphasizes collaboration with data scientists and engineers, with a focus on scalable, production-grade AI. As an individual contributor, you will implement CI/CD for AI workloads, monitor models for drift, and