Назад
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26 дней назад

AI Engineer (AI Infrastructure)

180 000 - 200 000AUD
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Singapore/Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Engineer (AI Infrastructure): Developing and optimizing AI/ML applications, production models, data pipelines, and AI workflows across GPU infrastructure and AI cloud platforms with an accent on model performance, scalability, and reliability. Focus on integrating AI systems into production, working with high-performance computing environments, and building scalable infrastructure for sustainable AI compute.

Location: Australia or Singapore, with flexibility depending on experience and project requirements. The posting header lists Melbourne, Australia.

Salary: AUD 180,000–200,000 per annum

Company

AI infrastructure organization developing efficient AI compute systems across the Asia-Pacific region.

What you will do

  • Develop and optimize 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.
  • Optimize model performance, scalability, and reliability.
  • Collaborate with software, infrastructure, and engineering teams while supporting R&D initiatives.

Requirements

  • Strong experience in AI and machine learning engineering.
  • Experience deploying AI/ML models into production.
  • Strong Python development skills and familiarity with modern AI/ML frameworks and tooling.
  • Experience with cloud and GPU-based computing environments.
  • Experience with APIs, data pipelines, and scalable systems.
  • Strong problem-solving, analytical, communication, and collaboration skills.

Culture & Benefits

  • Hands-on work at the intersection of artificial intelligence, cloud infrastructure, and high-performance computing.
  • Opportunity to contribute to next-generation AI systems operating at significant scale.
  • Collaboration with experienced engineers on sustainable AI infrastructure.
  • Direct impact on cutting-edge AI technology and infrastructure development.

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