Job summary
Eram Talent is hiring an Associate Data Scientist in Riyadh to develop, deploy and optimize AI, ML and Generative AI applications. The role involves building scalable LLM solutions, managing cloud/GPU infrastructure and implementing MLOps/LLMOps pipelines for production-grade AI workloads.
Key responsibilities
- Develop, train, test, evaluate and deploy AI/ML and Generative AI models
- Design and optimize LLM-based solutions, inference and performance tuning
- Build and manage scalable AI infrastructure with GCP, OpenShift, Kubernetes and Docker
- Implement MLOps/LLMOps pipelines for automated model lifecycle and monitoring
- Optimize inference performance with distributed computing and autoscaling
- Manage GPU workloads, distributed processing and benchmarking
- Create monitoring, dashboards and performance tracking for ML/LLM workloads
- Maintain CI/CD pipelines using tools such as Argo CD, Git and Jenkins
Requirements
- Bachelor's degree in Computer Science or related field
- More than 5 years' relevant professional experience
- Strong programming skills in Python and SQL
- Hands-on experience with GCP, OpenShift, Kubernetes and Docker
- Practical knowledge of MLOps, LLMOps and Generative AI
- Understanding of LLM architecture and inference optimization
- Experience with distributed computing, inference scaling and GPU workloads
- Familiarity with NVIDIA NIM, Hugging Face and NVIDIA SuperPOD
Skills
PythonSQLGCPKubernetesDockerOpenShiftMLOpsLLMOpsHugging FaceNVIDIA NIM
Source: Workable. Last checked as open: 14 Nov 2026. You apply directly with the employer.
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