Senior AI Infrastructure Specialist

2 weeks ago

Singapore beBeeInference Full time $125,000 - $175,000

As a senior technical leader, you will be responsible for designing and maintaining high-performance infrastructure for modern AI workloads. This role is critical to ensuring that clients' AI systems achieve demanding requirements for throughput, latency, availability, and compliance.

Job Responsibilities:
  • Design and operate GPU-based infrastructure across cloud and self-hosted environments.
  • Architect scalable inference platforms that support real-time and batch serving with high availability, load balancing, and fault tolerance.
  • Integrate inference workloads with orchestration frameworks such as Kubernetes, Slurm, and Ray.
  • Automate infrastructure provisioning and deployment using Terraform, Helm, and CI/CD pipelines.
  • Collaborate with ML engineers to co-design systems optimized for low-latency serving, continuous batching, and advanced inference optimization techniques.
Technical Skills:
  • Expertise in GPU-based infrastructure for AI, including scaling across clusters.
  • Strong knowledge of orchestration frameworks: Kubernetes, Ray, Slurm.
  • Experience with inference-serving frameworks (vLLM, NVIDIA Triton, DeepSpeed).
  • Proficiency in infrastructure automation (Terraform, Helm, CI/CD pipelines).
  • Experience building resilient, high-throughput, low-latency systems for AI inference.
Benefits:

This role offers the opportunity to work on cutting-edge technology, collaborate with experienced professionals, and contribute to the development of innovative solutions.

Other Opportunities:

The company provides a dynamic and inclusive environment where employees can grow and develop their skills, fostering a culture of technical excellence and innovation.

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