Associate Data Scientist (Saudi Arabia)
Eram Talent · Al Khobar
On-sitePosted 2026-10-01
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Job description
We are looking for an experienced Associate Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), and Large Language Models (LLMs). The ideal candidate should have hands-on experience in AI model development, deployment, cloud infrastructure, distributed computing, and MLOps/LLMOps to support scalable, high-performance AI applications.
Key Responsibilities
• Develop, train, test, evaluate, and deploy AI/ML models and Generative AI applications.
• Design, implement, and optimize LLM-based solutions, including inference mechanisms and performance tuning.
• Build and manage scalable AI infrastructure using GCP, OpenShift, Kubernetes, and Docker.
• Implement MLOps and LLMOps pipelines to automate model development, deployment, monitoring, and maintenance.
• Optimize LLM inference performance through distributed computing, inference benchmarking, and scaling strategies to meet SLAs/SLOs.
• Manage GPU-based workloads, distributed processing, and autoscaling for AI applications.
• Work with NVIDIA NIM, Hugging Face, and NVIDIA SuperPOD environments, including HPC, Slurm, and Kubernetes.
• Develop AI application architectures and manage end-to-end AI workflows.
• Implement monitoring, dashboards, and performance tracking for ML/LLM workloads and applications.
• Establish and maintain CI/CD pipelines using tools such as Argo CD, Git, and Jenkins.
• Collaborate with cross-functional teams, manage project activities, and ensure the delivery of scalable AI solutions.
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