AI Engineer: Production ML on Large-Scale GPU Infra

Pearson Carter; Australia; Hybrid; AUD 100,000 - 140,000; Full time

Job summary

Pearson Carter are partnering with a global AI infrastructure company in the Asia Pacific region to recruit an AI Engineer. You will develop and optimise AI-driven platforms across a scalable infrastructure ecosystem, supporting GPU‑based AI cloud platforms and data pipelines.

This is a hands-on role at the intersection of AI, cloud infrastructure, and high-performance computing, offering collaboration with experienced engineers and exposure to next-generation AI systems at global scale.

Qualifications

• Strong AI / Machine Learning engineering experience.
• Experience deploying AI/ML models into production.
• Strong Python development skills.
• Experience with modern AI/ML frameworks and tooling.
• Understanding of cloud and GPU-based computing environments.
• Experience working with APIs, data pipelines, and scalable systems.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Responsibilities

• Develop and optimise AI/ML applications and services.
• Build and integrate AI models into production environments.
• Work with large-scale GPU infrastructure and AI cloud platforms.
• Develop data pipelines and supporting AI workflows.
• Optimise model performance, scalability, and reliability.
• Collaborate with software, infrastructure, and engineering teams.
• Support R&D initiatives across emerging AI technologies.

Skills

AI/ML engineering

Python development

APIs and data pipelines

Cloud & GPU computing

Collaboration

Problem solving

Job description

Pearson Carter are partnering with a global AI infrastructure company in the Asia Pacific region to recruit an AI Engineer. You will develop and optimise AI-driven platforms across a scalable infrastructure ecosystem, supporting GPU‑based AI cloud platforms and data pipelines.

This is a hands-on role at the intersection of AI, cloud infrastructure, and high-performance computing, offering collaboration with experienced engineers and exposure to next-generation AI systems at global scale.