Senior MLOps Engineer: Scalable AI Infra & Deployment

GCS Recruitment Specialists; United Arab Emirates; On-site; AED 250,000 - 420,000; Full time

Job summary

GCS Recruitment Specialists in the United Arab Emirates seeks a Senior MLOps Engineer to lead the development and management of infrastructure for training, deploying, and maintaining ML models in production.

You will design scalable pipelines for inference serving, model evaluation, and continuous delivery, collaborate with researchers and engineers, and own reliability, cost governance, and observability across hybrid cloud environments.

Qualifications

• 5+ years in MLOps, ML infrastructure, or ML engineering with production lifecycles.
• Hands-on experience in model inference serving across a range of sizes and architectures.
• Strong Python skills; C/C++ experience is a plus.

Responsibilities

• Design and manage infrastructure for training, deployment, and monitoring of ML models.
• Lead inference serving strategies across model ranges and SLA requirements.
• Build and maintain automated pipelines for training, evaluation, versioning, and CD/CI (MLflow, Kubeflow, SageMaker Pipelines).
• Ensure reliability, observability, alerting, and incident response for ML services.
• Implement cost governance and multi-provider routing to optimize spend and performance.

Skills

MLOps

ML Infra

Python

Cloud

Education

Bachelor's or Master's in CS/ML

Tools

MLflow

Kubeflow

SageMaker Pipelines

DeepSpeed

Accelerate

Job description

GCS Recruitment Specialists in the United Arab Emirates seeks a Senior MLOps Engineer to lead the development and management of infrastructure for training, deploying, and maintaining ML models in production.

You will design scalable pipelines for inference serving, model evaluation, and continuous delivery, collaborate with researchers and engineers, and own reliability, cost governance, and observability across hybrid cloud environments.