Senior MLOps Engineer

📋 Description

• Design and implement end-to-end MLOps on Azure
• Build ML platforms using AKS and cloud-native tech
• Develop CI/CD and Continuous Training pipelines
• Deploy, manage ML workloads in Kubernetes
• Implement high-availability, low-latency model serving
• Configure autoscaling, traffic, rollback, governance

🎯 Requirements

• 8+ years in Software/Platform/DevOps/MLOps
• 5+ years building production MLOps platforms
• Strong Azure-based MLOps with AKS
• Kubernetes, containerisation, deployment patterns
• CI/CD and Infrastructure as Code experience
• Python and scripting skills