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The AI/ML Support Analyst will be a key member of the KAUST Supercomputing Lab’s (KSL) AI/ML Support Team, supporting the delivery of AI research services to KAUST's diverse research community. Working under the AI/ML Support Team Lead, this role focuses on developing and optimizing Generative AI models, maintaining computational benchmarks, and providing expert consultation to researchers across multiple scientific domains, including Climate & Weather, Bioinformatics, CFD, NLP, and multimodal AI. The analyst will help bridge the gap between cutting-edge computational infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.
The AI/ML Support Analyst will be a key member of the KAUST Supercomputing Lab’s (KSL) AI/ML Support Team, supporting the delivery of AI research services to KAUST's diverse research community. Working under the AI/ML Support Team Lead, this role focuses on developing and optimizing Generative AI models, maintaining computational benchmarks, and providing expert consultation to researchers across multiple scientific domains, including Climate & Weather, Bioinformatics, CFD, NLP, and multimodal AI. The analyst will help bridge the gap between cutting-edge computational infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.
Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries.
Maintain high customer service standards in dealing with and responding to user issues and questions.
Develop and consult on large-scale Generative AI model training on domain-specific datasets across research areas including Climate & Weather, Bioinformatics, Computational Fluid Dynamics (CFD), NLP, and multimodal AI.
Support researchers in fine-tuning foundation models on domain-specific datasets using advanced optimization techniques.
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Develop data engineering pipelines to support AI research workflows.
Design and implement efficient AI workflows optimized for KSL's high-performance computing environment.
Build and maintain secure, OCI-compliant, HPC-ready container images using Singularity, Podman, or similar.
Develop complex workflows using SLURM and Kubernetes for distributed training and inference.
Conduct computational readiness reviews for AI research projects.
Assist in AI model and artifact control reviews to ensure compliance with institutional standards.
Support researchers in designing secure, compliant, and performant workflows.
Provide expert consultation to researchers on efficient utilization of AI resources and best practices.
Support the implementation of usage monitoring and reporting systems.
Ensure user workflows comply with KSL security policies and best practices.
Develop and maintain computational benchmarks for AI workloads on KSL systems.
Create and maintain regression testing workloads to stress test system functionality.
Support performance debugging and optimization activities for research workloads.
Contribute to technology evaluation and benchmarking exercises for future infrastructure investments.
Perform benchmarking of new hardware and software configurations.
Create comprehensive training materials for end-users on KSL’s HPC systems hosting AI workloads and tools.
Develop and maintain high-quality technical documentation.
Support the delivery of workshops on distributed training, fine-tuning, and inference optimization.
Contribute to knowledge transfer initiatives within the KAUST research community.
Provide one-on-one consultation to researchers on efficient use of computational resources.
KAUST is a private Saudi graduate research university serving graduate students and advancing science and technology.
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