Cloud-Native ML Backend Engineer (AI Pipelines & Production)

Virtuos; Kuala Lumpur; Hybrid; MYR 150,000 - 210,000; Full time

Job summary

Virtuos is seeking a Backend Machine Learning Programmer to build scalable services and data infrastructure powering our AI products. You will design cloud-native systems on AWS, build large-scale data pipelines, and deploy ML models in production.

This global role offers a Kuala Lumpur‑based on-site start with a three‑day office, two‑day home hybrid schedule. You’ll collaborate with ML and frontend engineers to deliver end-to-end features, with a focus on reliability, efficiency, and scalable

Qualifications

• Strong backend engineering skills in Python (or another server‑side language).
• Hands‑on experience with AWS cloud services (compute, storage, containers and serverless).
• Experience with big‑data and distributed‑data processing at scale.
• Experience serving machine‑learning models and working with databases, including vector/search stores.
• A solid grounding in APIs, microservices, containerization and monitoring.
• Experience with CI/CD pipelines – GitLab and Horde are strong pluses; Jenkins and TeamCity a lesser plus.
• Game development experience is valued.
• Bachelor’s degree in Computer Science, Engineering or equivalent experience.
• Excellent written and spoken English.
• Around 4+ years of backend engineering experience.
• Hands‑on experience with AI coding assistants such as Claude Code, Codex CLI, GitHub Copilot or equivalent (required).

Responsibilities

• Design and build scalable backend services and APIs for machine‑learning and AI features.
• Build and operate large‑scale data pipelines for ingesting, processing and storing big datasets.
• Deploy, serve and scale machine‑learning models in production, including inference, embeddings and vector search.
• Design and operate cloud infrastructure on AWS, ensuring reliability, security and cost‑efficiency.
• Own data storage and retrieval across relational and vector/search stores.
• Build CI/CD, observability and automated testing for backend systems.
• Collaborate with machine‑learning and frontend engineers to deliver features end to end.

Skills

Python

AWS

Big data

APIs

Microservices

CI/CD

GitLab

Horde

English

AI coding assistants

Vector search

Education

Bachelor’s degree in Computer Science, Engineering or equivalent experience

Tools

GitLab

Horde

Jenkins

TeamCity

Job description

Virtuos is seeking a Backend Machine Learning Programmer to build scalable services and data infrastructure powering our AI products. You will design cloud-native systems on AWS, build large-scale data pipelines, and deploy ML models in production.

This global role offers a Kuala Lumpur‑based on-site start with a three‑day office, two‑day home hybrid schedule. You’ll collaborate with ML and frontend engineers to deliver end-to-end features, with a focus on reliability, efficiency, and scalable