#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
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🫆Let’s connect @kozodub_alena