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