C
CMC Globalvia Indeed
AI Infrastructure Specialist
Singapore, SGPosted 2mo ago
MLOpsMid LevelFull-time#kubernetes
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About the Role
Key Responsibilities
- Design and manage hybrid AI infrastructure (GPU clusters, Kubernetes, private & public cloud).
- Optimize high-performance compute environments (NVIDIA GPUs, CUDA, NVLink, AI accelerators).
- Enable scalable ML training and inference platforms.
- Implement containerized AI environments and orchestration.
- Support MLOps pipelines and model lifecycle management.
- Enable CI/CD for ML deployments.
- Integrate model registry, artifact storage, and observability tools.
- Manage vector databases and inference endpoints.
- Ensure secure, resilient, and compliant AI infrastructure.
- Drive cost optimization, performance tuning, and capacity planning.
- Support AI use cases such as Generative AI, Vision AI, RAG pipelines, and predictive analytics.
Requirements
- 3+ years in Infrastructure, cloud engineering.
- Hands-on experience with GPU clusters and Kubernetes.
- Strong knowledge of containerization and orchestration platforms.
- Experience operating in hybrid or multi-cloud environments.
- Automation & Infrastructure-as-Code mindset.
- Strong troubleshooting and systems thinking skills.
- Passion for enabling enterprise AI at scale.
Pay: $3,812.18 - $10,933.32 per month
Benefits:
- Flexible schedule
Work Location: In person
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