Simpliigence - MLOps Engineer - Azure Kubernetes Service

MLOps Engineer : Responsibilities :

• Architect & Deploy : Design and manage scalable ML infrastructure on Azure (AKS), leveraging Infrastructure as Code principles.
• Automate & Accelerate : Build and optimize CI / CD pipelines with GitHub Actions for seamless software, data, and model delivery.
• Engineer Performance : Develop efficient and reliable data pipelines using Python and distributed computing frameworks.
• Ensure Reliability : Implement solutions for deploying and maintaining ML models in production.
• Collaborate & Innovate : Partner with data scientists and engineers to continuously enhance existing MLOps capabilities.

Expertise :

Required Exp : 6+years / Job Location (ref : hirist.tech)