Senior MLOps Engineer

#вакансия #vacancy #job #ML #MLOps #hiring

Senior MLops Engineer for fast growing Startup in Dubai! ☀️

What we offer
💲 Salary: $7,000–10,000 net per month, depending on experience
🚀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 & Helm
• Own end-to-end deployment pipelines for LLMs, diffusion, and generative models with high GPU load
• Build and optimize high-load inference systems (image generation, TTS/STT) with strong performance focus
• Design cost-efficient, auto-scaling serving using Triton, vLLM, Ray Serve, or similar
• Integrate CI/CD across the ML lifecycle (training → deployment)
• Optimize GPU utilization and orchestrate workloads via KServe, Kubeflow, or custom EKS solutions
Manage GitOps deployments with FluxCD / ArgoCD
• Ensure monitoring, logging, and alerting (Prometheus, Grafana, Loki)
Collaborate closely with ML, Infra, and Engineering teams

Required Experience

• 4–5 years of extensive experience implementing inference systems and deploying ML models to production environments
• 2–3 years of experience with model serving frameworks such as Triton, vLLM, Ray Serve, TorchServe, or similar
• 3–4 years of experience deploying and optimizing LLMs or diffusion models under high load at scale with GPU-aware scaling
• 3–4 years of experience with Kubernetes (EKS) and infrastructure-as-code (Terraform, Helm)
• 4–5 years of hands-on software engineering experience in Python, with production-grade experience in ML model lifecycle
• Fluent English

📩 𝗙𝗼𝗿 𝗰𝗼𝗻𝘁𝗮𝗰𝘁𝗶𝗻𝗴 https://t.me/Nadya_Shirshikova