Associate Data Scientist

About the Role

Eram Talent is seeking an Associate Data Scientist with 0-1 years of experience to join their team in Saudi Arabia. This full-time role focuses on developing and deploying advanced AI applications, requiring expertise in Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), and Large Language Models (LLMs).

Role Overview

The ideal candidate will have hands-on experience in AI model development, deployment, cloud infrastructure, distributed computing, and MLOps/LLMOps. This position supports the creation of scalable, high-performance AI applications and involves managing the end-to-end AI workflow, from model development to monitoring and maintenance.

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.

Required Experience and Skills

• 0-1 years of experience in data science, with a focus on AI/ML.
• Strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), and Large Language Models (LLMs).
• Hands-on experience in AI model development and deployment.
• Proficiency in cloud infrastructure, distributed computing, and MLOps/LLMOps.
• Familiarity with tools and platforms such as GCP, OpenShift, Kubernetes, Docker, NVIDIA NIM, Hugging Face, NVIDIA SuperPOD, HPC, Slurm, Argo CD, Git, and Jenkins.

Work Type

This is a full-time position.