DevOps Engineer - Azure Databricks & Azure Cloud Operations

About the role

Design and provision a secure Azure AI Foundry ML architecture for OCR-based billing data extraction, taking models from validation through production deployment to resolve revenue-impacting invoice processing delays. Build and operate an end-to-end AI pipeline — ingestion, model inference, and REST API integration — Azure Container Apps, API Gateway

What you'll do

• Design and provision a secure Azure AI Foundry ML architecture for OCR-based billing data extraction
• Build and operate an end-to-end AI pipeline — ingestion, model inference, and REST API integration — Azure Container Apps, API Gateway
• Build CI/CD pipelines (Azure DevOps) automating deployment and version control for ML-enabled infrastructure and application services
• Implement pipeline monitoring and observability (Azure Application Insights, centralized logging) to track model and service performance in production
• Designing and managing environments that combine on-premises infrastructure

What you need

• 2–5 yrs of experience
• Azure
• Databricks
• Docker
• CI/CD
• Machine learning
• Terraform
• Any graduate

Good to have

• Kubernetes
• Cloud security
• Computer vision
• Python
• Shell scripting
• Jenkins