全职 AI Infrastructure Architect Jobs, in Nava Singapore, Singapore - Ricebowl

Role & Responsibilities

• Architect and deploy scalable AI infrastructure for LLMs and multi-modal models—covering data pipelines, model serving, and inference optimization on Kubernetes/AKS/EKS.
• Design GPU/NPU-aware cluster topologies with auto-scaling, model checkpointing, and low-latency inference SLAs for production workloads.
• Integrate MLOps toolchains (MLflow, Weights & Biases, KServe, Triton) with CI/CD pipelines to automate model deployment, rollback, and drift detection.
• Establish infrastructure-as-code (IaC) standards using Terraform or Pulumi for reproducible, secure, and auditable cloud environments.
• Collaborate with ML Engineers and Data Scientists to optimize model quantization, batching strategies, and memory footprint for production efficiency.
• Define SRE practices—observability (Prometheus/Grafana), alerting, disaster recovery—and enforce infrastructure security (IAM, network policies, pod security policies).
  
  

Skills & Qualifications

Must-Have

• Kubernetes
• Terraform
• GPU orchestration
• Model serving (Triton, KServe, Seldon)
• MLflow
• Prometheus
• Grafana
• AKS/EKS
  
  

Preferred

• Ray Serve
• ONNX Runtime
• OpenTelemetry
  
  

Benefits & Culture Highlights

• Work on bleeding-edge AI infrastructure used by Fortune 500 clients and scaling AI startups.
• On-site collaborative environment in Singapore’s innovation hub with cross-functional AI & cloud teams.
• Unlimited PTO, performance bonuses, and annual learning stipend for certifications and AI conferences.
  
  

Skills: networking,infrastructure,teams,architecture,platforms,kubernetes,design,storage,data center,orchestration,cloud