Enterprise AI Platform Engineer | LLM & GPU Inference

Saudi Aramco (ASC); Saudi Arabia; On-site; SAR 299,962 - 449,943; Full time

Job summary

Saudi Aramco (ASC) is seeking an AI ML LLM Systems Engineer to contribute to the development of enterprise-scale AI platforms. You will deploy and manage LLMs and vision models on NVIDIA SuperPods Cloud and build scalable inference pipelines using Kubernetes and Docker.

The ideal candidate has a Master's degree, 8 years in AI/ML systems, and strong proficiency in Python and SQL. The role focuses on ensuring high application performance and compliance with SLAs.

Qualifications

• Hold a Master's degree in Computer Science, Software Engineering, or a related field.
• Have 8 years of experience in AI/ML systems or cloud-native infrastructure, including at least 4 years in LLM deployment and optimization.
• Experience deploying and optimizing LLMs and vision models on NVIDIA GPU clusters and HPC environments.

Responsibilities

• Deploy and manage LLMs and vision models on NVIDIA SuperPods Cloud.
• Build and maintain scalable inference pipelines using Kubernetes, Docker, and OpenShift.
• Optimize performance through multiple techniques.

Skills

Proficiency in Python

Proficiency in SQL

Kubernetes (K8s)

Docker

OpenShift

Elasticsearch

PostgreSQL

Monitoring and dashboarding techniques

Education

Master's degree in Computer Science, Software Engineering, or related field

Tools

NVIDIA SuperPods Cloud

Git

Bitbucket

Jenkins

ArgoCD

Job description

Saudi Aramco (ASC) is seeking an AI ML LLM Systems Engineer to contribute to the development of enterprise-scale AI platforms. You will deploy and manage LLMs and vision models on NVIDIA SuperPods Cloud and build scalable inference pipelines using Kubernetes and Docker.

The ideal candidate has a Master's degree, 8 years in AI/ML systems, and strong proficiency in Python and SQL. The role focuses on ensuring high application performance and compliance with SLAs.