AI/ML Support Analyst

About the Role
King Abdullah University of Science and Technology (KAUST) is seeking an AI/ML Support Analyst to join the KAUST Supercomputing Lab’s (KSL) AI/ML Support Team. This full-time role focuses on delivering AI research services to KAUST's research community, specifically in the development and optimization of Generative AI models, maintaining computational benchmarks, and providing expert consultation across various scientific domains.
Role Context and Contribution
The AI/ML Support Analyst will work under the AI/ML Support Team Lead, bridging the gap between advanced computational infrastructure and the diverse needs of the research community. This position contributes to governance, technical enablement, and community development initiatives within the university's research environment.
Key Responsibilities

Provide timely user support via telephone, walk-in, email, and ticketing systems for all inquiries.
Maintain high customer service standards in responding to user issues and questions.
Develop and consult on large-scale Generative AI model training using domain-specific datasets across areas such as 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.
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 tools like Singularity or Podman.
Develop complex workflows using SLURM and Kubernetes for distributed training and inference.

Compliance and Consultation

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.

Work Type
This is a full-time position.