AI Systems QA Engineer – Fresh Grads, Training Provided

Private Advertiser; Shah Alam; On-site; MYR 36,000 - 60,000; Full time

Job summary

EER Digital Sdn Bhd is expanding its AI infrastructure in Klang Valley, Selangor and seeks an AI Systems Support & QA Engineer, fresh graduates welcome. You will join a hands-on training program and support both software AI evaluation and physical data center operations.

The role involves learning to benchmark LLM outputs, monitor GPU servers, and perform basic hardware diagnostics under supervision. Structured onboarding ensures rapid upskilling.

Qualifications

• Bachelor's Degree or Diploma in Computer Engineering, Computer Science, IT, Electrical & Electronic Engineering, or equivalent.
• Open to fresh graduates; structured onboarding and technical training provided.
• Basic familiarity with Linux/Unix commands, Python, or basic networking concepts.
• Strong analytical mindset with high attention to detail; eager to learn AI evaluation and infra operations.
• Fluent in Bahasa Melayu and English.
• 6-week structured upskilling program: AI QA, LLM evaluation, and data center operations.
• Clear career progression into AI Operations or Infrastructure Engineering.

Responsibilities

• Evaluate and benchmark LLM outputs; test prompts; perform RLHF scoring; verify language and cultural context (Bahasa Melayu & English).
• Monitor GPU server health, cooling temperatures, power utilization (PUE), and cluster performance.
• Assist with basic hardware diagnostics, server log reviews, network cabling checks, and site maintenance.

Skills

Analytical mindset

Attention to detail

Eagerness to learn

Education

Bachelor's Degree in Computer Engineering

Bachelor's Degree in Computer Science

Diploma in Electrical & Electronic Engineering

Diploma in Information Technology

Job description

EER Digital Sdn Bhd is expanding its AI infrastructure in Klang Valley, Selangor and seeks an AI Systems Support & QA Engineer, fresh graduates welcome. You will join a hands-on training program and support both software AI evaluation and physical data center operations.

The role involves learning to benchmark LLM outputs, monitor GPU servers, and perform basic hardware diagnostics under supervision. Structured onboarding ensures rapid upskilling.