Associate Data Scientist (AI & GenAI)

About the role

Eram Talent is recruiting an experienced Associate Data Scientist in Saudi Arabia with strong expertise in AI, machine learning, generative AI and large language models. The role covers hands-on 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 optimise 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.
• Optimise LLM inference performance through distributed computing, benchmarking and scaling strategies to meet SLAs/SLOs.
• Manage GPU-based workloads, distributed processing and autoscaling; work with NVIDIA NIM, Hugging Face and NVIDIA SuperPOD environments.
• Develop AI application architectures and manage end-to-end AI workflows.
• Set up monitoring, dashboards and performance tracking for ML/LLM workloads.
• Establish CI/CD pipelines using Argo CD, Git and Jenkins.
• Collaborate with cross-functional teams and manage project activities.

Required profile

• Bachelor's degree in Computer Science or a related field.
• More than 5 years of professional experience in data science, AI, machine learning or related fields.
• Strong programming skills in Python and SQL.
• Hands-on experience with cloud technologies such as GCP, OpenShift, Kubernetes and Docker.
• Knowledge of DevOps practices and CI/CD tools, including Argo CD, Git and Jenkins.
• Preferred: experience with large-scale AI infrastructure, distributed workloads, and leading project activities across technical teams.