Senior MLOps Engineer: AI Production & Scale

DKSH Group; Kuala Lumpur; On-site; MYR 180,000 - 280,000; Full time

Job summary

DKSH is seeking an AI Engineer (MLOps), Senior Specialist in Kuala Lumpur to engineer, deploy, and operate production-grade AI and ML solutions at scale. The role focuses on MLOps engineering, model lifecycle management, and platform reliability to enable secure deployment, monitoring, and continuous improvement of models built by data scientists.

This position sits at the intersection of AI, software engineering, and cloud platforms, establishing robust MLOps practices, automation, and

Qualifications

• Experience in MLOps, AI engineering, or ML platform roles.
• Proficiency in Python and software engineering best practices.
• Hands-on with model deployment, CI/CD, and automation for AI/ML workloads.
• Experience with cloud platforms, preferably Microsoft Azure (Azure ML, DevOps, containers).
• Strong understanding of ML lifecycle: training, inference, monitoring, and retraining.
• Ability to engineer reliable, secure, and scalable enterprise systems.

Responsibilities

• Design, build, and maintain MLOps pipelines for training, testing, deploying, and monitoring AI/ML models in production.
• Engineer scalable deployment architectures across cloud environments (Azure), supporting batch and real-time inference.
• Implement automated workflows for model versioning, CI/CD, rollback, and lifecycle management.
• Ensure production AI systems meet requirements for performance, reliability, security, and cost efficiency.
• Monitor models for data drift, performance degradation, and operational issues, and implement remediation strategies.
• Partner closely 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 and use cases.
• Integrate AI models into enterprise systems, digital products, and business workflows via APIs and services.
• Support deployment of generative AI and LLM-based solutions with appropriate guardrails, observability, and controls.
• Define and enforce MLOps standards, best practices, and reference architectures for DKSH.
• Improve reliability, scalability, and speed of AI delivery through automation and engineering discipline.
• Contribute to documentation, runbooks, and knowledge sharing to uplift AI engineering maturity across teams.

Skills

MLOps

AI engineering

Python

CI/CD for AI

Azure Cloud

ML lifecycle

Security & scalability

DevOps practices

Tools

Docker

Kubernetes

Databricks

MLflow

Azure ML

Job description

DKSH is seeking an AI Engineer (MLOps), Senior Specialist in Kuala Lumpur to engineer, deploy, and operate production-grade AI and ML solutions at scale. The role focuses on MLOps engineering, model lifecycle management, and platform reliability to enable secure deployment, monitoring, and continuous improvement of models built by data scientists.

This position sits at the intersection of AI, software engineering, and cloud platforms, establishing robust MLOps practices, automation, and