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CY iT HR
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Nadya Shirshikova
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#ะฒะฐะบะฐะฝัะธั #vacancy #job #ML #MLOps #hiring
Senior MLops Engineer for fast growing Startup in Dubai! โ๏ธ
What we offer
๐ฒ Salary: $7,000โ10,000 net per month, depending on experience
๐Full relocation package to Dubai, customized to your needs
Official employment in the UAE
How You Will Influence the Workflow
โข Architect and maintain scalable ML infrastructure on AWS EKS using Terraform & Helm
โข Own end-to-end deployment pipelines for LLMs, diffusion, and generative models with high GPU load
โข Build and optimize high-load inference systems (image generation, TTS/STT) with strong performance focus
โข Design cost-efficient, auto-scaling serving using Triton, vLLM, Ray Serve, or similar
โข Integrate CI/CD across the ML lifecycle (training โ deployment)
โข Optimize GPU utilization and orchestrate workloads via KServe, Kubeflow, or custom EKS solutions
Manage GitOps deployments with FluxCD / ArgoCD
โข Ensure monitoring, logging, and alerting (Prometheus, Grafana, Loki)
Collaborate closely with ML, Infra, and Engineering teams
Required Experience
โข 4โ5 years of extensive experience implementing inference systems and deploying ML models to production environments
โข 2โ3 years of experience with model serving frameworks such as Triton, vLLM, Ray Serve, TorchServe, or similar
โข 3โ4 years of experience deploying and optimizing LLMs or diffusion models under high load at scale with GPU-aware scaling
โข 3โ4 years of experience with Kubernetes (EKS) and infrastructure-as-code (Terraform, Helm)
โข 4โ5 years of hands-on software engineering experience in Python, with production-grade experience in ML model lifecycle
โข Fluent English
๐ฉ ๐๐ผ๐ฟ ๐ฐ๐ผ๐ป๐๐ฎ๐ฐ๐๐ถ๐ป๐ด https://t.me/Nadya_Shirshikova
Senior MLops Engineer for fast growing Startup in Dubai! โ๏ธ
What we offer
๐ฒ Salary: $7,000โ10,000 net per month, depending on experience
๐Full relocation package to Dubai, customized to your needs
Official employment in the UAE
How You Will Influence the Workflow
โข Architect and maintain scalable ML infrastructure on AWS EKS using Terraform & Helm
โข Own end-to-end deployment pipelines for LLMs, diffusion, and generative models with high GPU load
โข Build and optimize high-load inference systems (image generation, TTS/STT) with strong performance focus
โข Design cost-efficient, auto-scaling serving using Triton, vLLM, Ray Serve, or similar
โข Integrate CI/CD across the ML lifecycle (training โ deployment)
โข Optimize GPU utilization and orchestrate workloads via KServe, Kubeflow, or custom EKS solutions
Manage GitOps deployments with FluxCD / ArgoCD
โข Ensure monitoring, logging, and alerting (Prometheus, Grafana, Loki)
Collaborate closely with ML, Infra, and Engineering teams
Required Experience
โข 4โ5 years of extensive experience implementing inference systems and deploying ML models to production environments
โข 2โ3 years of experience with model serving frameworks such as Triton, vLLM, Ray Serve, TorchServe, or similar
โข 3โ4 years of experience deploying and optimizing LLMs or diffusion models under high load at scale with GPU-aware scaling
โข 3โ4 years of experience with Kubernetes (EKS) and infrastructure-as-code (Terraform, Helm)
โข 4โ5 years of hands-on software engineering experience in Python, with production-grade experience in ML model lifecycle
โข Fluent English
๐ฉ ๐๐ผ๐ฟ ๐ฐ๐ผ๐ป๐๐ฎ๐ฐ๐๐ถ๐ป๐ด https://t.me/Nadya_Shirshikova
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