QA Azure AI Engineer — Generative AI & Cloud Deployment

Edvwerke; Kuala Lumpur; On-site; MYR 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary with performance-based bonuses

Opportunities for professional development

Dynamic and collaborative work environment

Job summary

Edvwerke is seeking a QA Azure AI Engineer to develop and implement AI solutions in Kuala Lumpur. Key responsibilities involve building generative AI models and maintaining AI deployments on cloud platforms.

The ideal candidate has extensive experience in Python, AI evaluation, and deploying models in cloud services. The position offers a competitive salary with performance-based bonuses and a dynamic work environment.

Qualifications

• 1–2 years hands‑on experience with generative AI and RAG architecture.
• 5+ years deploying AI models on cloud AI services.
• 7+ years coding in Python, including complex scripting.
• 8+ years QA experience with LLM evaluation and test automation.
• 5+ years building pipelines for automated AI model testing and deployment.
• Practical experience deploying and managing AI models in cloud AI services.

Responsibilities

• Build and implement AI solutions using generative models and RAG pipelines.
• Deploy, manage, and maintain AI models on cloud platforms.
• Write complex Python scripts for data processing.
• Evaluate models using advanced metrics.
• Develop automated pipelines for AI testing.
• Provide guidance on AI model architecture.
• Collaborate with cross-functional teams.
• Maintain reproducible workflows and documentation.

Skills

Generative AI Expertise

Cloud Platform Experience

Python Specialist

QA & Automation Knowledge

DataOps & CI/CD

Technical Degree

Azure AI Deployment

Evaluation Metrics Mastery

Education

Degree in CS, Engineering, Math

Tools

Python (Pandas, PyTest)

AI Deployment Tools

Job description

Edvwerke is seeking a QA Azure AI Engineer to develop and implement AI solutions in Kuala Lumpur. Key responsibilities involve building generative AI models and maintaining AI deployments on cloud platforms.

The ideal candidate has extensive experience in Python, AI evaluation, and deploying models in cloud services. The position offers a competitive salary with performance-based bonuses and a dynamic work environment.