Lead AI/ML Cloud Engineer_2026

Private Advertiser; Selangor; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Latest technologies

Cloud-based AI solution

International team

Modern office

Job summary

Private Advertiser seeks a skilled backend and platform engineer to design, build, and operate cloud infrastructure and ML-serving services. You will collaborate with data science and product teams to deploy production-grade AI solutions and ensure reliability through monitoring and incident response.

The role emphasizes leadership in architecture reviews, engineering standards, and cross-team collaboration while leveraging AWS/GCP/Azure and IaC practices to scale workloads.

Qualifications

• Strong Python skills (or similar languages) for backend and infrastructure automation.
• Hands-on experience with Kubernetes, Infrastructure-as-Code (e.g. Terraform), CI/CD, and containerized workloads.
• Expertise with AWS, GCP, or Azure, including compute, networking, storage, and managed services.
• Excellent communication skills and demonstrated technical leadership.
• Bachelor's or Master's degree in a STEM field or equivalent practical experience.
• Nice to have: distributed systems, ML model serving frameworks, observability, security practices, or cost optimization.

Responsibilities

• Design, build, and operate cloud infrastructure and backend services that reliably serve ML inference workloads at scale.
• Design, implement, and operate the platform components and automation needed to manage production ML workloads.
• Collaborate with data science and product teams to deliver production-grade AI services.
• Enhance observability, performance, and reliability through monitoring, alerting, incident response and continuous improvement.
• Lead architecture reviews, establish engineering standards, mentor engineers, and drive reusable platform patterns across teams.

Skills

Python

Kubernetes

Infrastructure-as-Code

CI/CD

Cloud platforms

Communication

Leadership

ML model serving

Observability

Security practices

Cost optimization

Education

Bachelor's or Master's degree in STEM

Tools

Kubernetes

Terraform

CI/CD tooling

Job description

Design, build, and operate cloud infrastructure and backend services that reliably serve ML inference workloads at scale

Design, implement, and operate the platform components and automation needed to manage production ML workloads

Collaborate with data science and product teams to deliver production-grade AI services

Enhance observability, performance, and reliability through monitoring, alerting, incident response and continuous improvement

Lead architecture reviews, establish engineering standards, mentor engineers, and drive reusable platform patterns across teams

Requirements

• Strong Python skills (or similar languages) for backend and infrastructure automation
• Hands-on experience with Kubernetes, Infrastructure-as-Code (e.g. Terraform), CI/CD, and containerized workloads
• Expertise with AWS, GCP, or Azure, including compute, networking, storage, and managed services
• Excellent communication skills and demonstrated technical leadership
• Bachelor's or Master's degree in a STEM field or equivalent practical experience
• Nice to have: distributed systems, ML model serving frameworks, observability, security practices, or cost optimization

Our Offer

• Opportunity to work with the latest technologies and tools
• Creating a modern cloud-based AI solution
• International team environment
• Modern office environment