Description
The Senior MLOps Engineer will design, build, and maintain scalable machine-learning infrastructure for training, inference, and deployment at MBZUAI. The role owns the model lifecycle from data ingestion through real-time serving, using Kubernetes, AWS, Helm, CI/CD, observability, Terraform, and modern model-serving frameworks. Responsibilities include deploying LLM and speech models, optimizing serving pipelines, integrating user-facing interfaces, supporting multimodal workloads, and collaborating with researchers to productize models.
