AI Engineering Graduate Talent Trainee

About the role

Bitdeer AI is seeking a Graduate Talent Trainee to join its AI Engineering team. You will work on building and operating large‑scale, highly available AI cloud services that power global AI workloads. This role offers exposure to the full stack of cloud infrastructure, from bare‑metal provisioning to AI model serving.

Key responsibilities

• Develop and maintain cloud service platform components such as GPU virtual machines, bare‑metal services, container services, cloud networking, storage, billing, monitoring, security, and multi‑region resource management.
• Design and implement managed Kubernetes services with GPU‑native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, and resource isolation for AI training and inference.
• Build AI model training and inference pipelines, including distributed training, model fine‑tuning, deployment, and serving at scale.

Required profile

• Recent graduate or final‑year student with a strong interest in AI, cloud computing, and large‑scale systems.
• Ability to work on complex, high‑performance infrastructure projects.
• Willingness to learn and contribute across the full technology stack.

Required skills

• GPU computing
• Kubernetes (including GPU orchestration)
• Containerization (Docker)
• Bare‑metal provisioning
• Distributed training and model fine‑tuning
• AI inference pipelines
• Cloud networking and storage concepts