CareerPlan

MLOps / AI Platform Engineer

Kuala Lumpur, Exchange 106Full-time2026-08-21 → 2026-11-12

Core

Design, develop, and maintain scalable AI/ML systems, data pipelines, and high-performance compute solutions for production and edge use cases.

Role type

MLOps / AI Platform Engineer

Builds

Scalable data pipelines, production ML models, and AI/ML systems leveraging cloud services and HPC.

Domain

Cloud AI, Machine Learning, High-Performance Computing (HPC)

Deliverable

production ML models

Required skills

Cloud AI services, DevOps & MLOps, Deep Learning, Gen AI, Data preprocessing, Data storage and retrieval, Algorithm development

Preferred skills

Edge device optimization, HPC simulation, Research and development of AI algorithms

Technologies

Cloud AI services, HPC, Edge devices

Responsibilities

Design and build scalable data pipelines for model training and production; Customize and apply Deep Learning and Gen AI models; Engage in R&D of new AI algorithms and simulations; Implement efficient data storage and retrieval mechanisms for models.