MLOps Engineer Senior

#vacancy #job #hiring ❤‍🔥Senior MLops Engineer for fast growing AI- Startup in Dubai! What we offer 💲Salary fully aligned with your expectations 🚀Full relocation package to Dubai, customized to your needs 🇦🇪Official employment in the UAE How You Will Influence the Workflow ▫️Architect and maintain scalable ML infrastructure on AWS EKS using Terraform and Helm. ▫️Lead end-to-end model deployment pipelines for LLMs, diffusion models, and other generative/AI models requiring high GPU throughput. ▫️Design cost-effective, auto-scaling serving systems using tools like Triton Inference Server, vLLM, Ray Serve, or similar. ▫️Build and maintain CI/CD pipelines integrating the ML model lifecycle ▫️Optimize GPU resource usage and implement job orchestration with frameworks like KServe, Kubeflow, or custom workloads on EKS. ▫️Deploy and manage FluxCD for GitOps-based deployment and environment promotion. Implement robust monitoring, logging, and alerting. Required Experience ▫️2–3 years with model serving frameworks like Triton, vLLM, Ray Serve, TorchServe, or similar. ▫️2–3 years deploying and optimizing LLMs and LDMs (e.g., Stable Diffusion) with GPU-aware scaling. ▫️3–4 years experience with Kubernetes (EKS) and infrastructure-as-code (Terraform, Helm). ▫️4–5 years of hands-on software engineering in Python, with ML model lifecycle experience. ▫️Fluent English 🫆Let’s connect @kozodub_alena