Cloud-Native AI Infrastructure Specialist

1 day ago

Singapore beBeeArchitect Full time

Unlock the potential of artificial intelligence with our innovative role. We are seeking a seasoned AI Architect to spearhead the design and implementation of scalable, cloud-native AI infrastructure.

This is a unique opportunity to shape the future of AI systems from infrastructure to application layer. As an experienced professional, you will be responsible for setting up robust MLOps pipelines, building multi-modal feature platforms, and delivering production-grade model training and deployment workflows.

You will work closely with engineering, product, and data teams to leverage cloud infrastructure to deliver scalable, cost-efficient, and secure AI systems.

The key responsibilities include architecting and building end-to-end AI infrastructure across model lifecycle stages, designing and maintaining feature pipelines, leading the design of a centralized feature store platform, developing MLOps workflows, and integrating model serving platforms.

In addition, you will establish observability for ML pipelines, collaborate with AI Scientist and application teams to productionize new models and LLM-based systems, and ensure seamless integration with existing systems.

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or Systems Engineering.
  • 6+ years of experience in building AI/ML platforms, cloud-native architecture, or infrastructure engineering.

We offer a competitive compensation and equity package, ownership to design foundational AI infrastructure, collaboration with world-class engineers, researchers, and domain experts, and opportunities to shape the next generation of scalable AI systems.

If you have hands-on experience with feature stores, container orchestration and deployment, deep understanding of distributed systems, CI/CD for ML, and scalable data & model pipelines, we encourage you to apply.

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