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AI Delivery Engineer

Exclusive opportunity

Onsite

AI Delivery Engineer

OneAsia Network Limited

AI Delivery Engineer

Skills

Deep LearningMachine LearningAILinuxKubernetes

19 days ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

6 October 2026

What they need


Role Overview

We’re looking for AI Delivery Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for OneAsia platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology!

Key Responsibilities

  • Handle support and operations of OneAsia software, including monitoring and alerting, configuration management, and upgrades
  • Deploy new OneAsia products at customer deployments and perform migrations to the latest infrastructure types
  • Debug, improve, and optimize OneAsia’s services and infrastructure with a focus on long-term reliability and scalability
  • Reduce manual operations and automate workflows, processes, and/or runbooks where possible
  • Provide advanced tier technical support for complex production incidents, ensuring rapid root-cause analysis and minimizing downstream business impact.

Required Qualifications

  • Bachelor’s degree in computer science, Computer Engineering, or other Engineering fields or equivalent experience.
  • Proven hands-on experience in Linux and K8S troubleshooting with good problem identification, resolution, and solving skills
  • Experience building solutions with LLMs and a deep understanding of overall Gen AI landscape
  • Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)
  • Experience with cluster orchestrators like Slurm or Kubernetes
  • Excellent communication and interpersonal skills, with the ability to work effectively in multi-functional teams

Preferred Qualifications

  • Hands-on experience with NVIDIA Base Command Manager, Slurm orchestrators, and tuning NVIDIA NCCL for distributed deep learning
  • Experience with NVIDIA GPU infrastructure tools (DCGM, nvidia-smi, MIG, NVSwitch diagnostics

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