About this role
A results-driven AI Engineer with strong DevOps and Cloud Engineering expertise to support the design, deployment, and operation of scalable, production-grade AI and data platforms on Microsoft Azure. The ideal candidate brings hands-on experience working at the intersection of DevOps, cloud infrastructure, and machine learning enablement, with a clear focus on automation, reliability, and secure delivery.
Key Responsibilities
• Build, manage, and optimize CI/CD pipelines using Azure DevOps and GitHub Actions for AI, data, and application workloads. • Deploy and operate AI-enabled and data platforms on Azure Kubernetes Service (AKS) using Docker and Helm. • Provision and manage Azure infrastructure including compute, networking, storage, and security services. • Enable MLOps and data pipelines by supporting ETL workflows using Azure Data Factory and Databricks. • Implement secure configuration and secrets management using Azure Key Vault. • Monitor platform health, performance, and availability using Azure Monitor and Log Analytics. • Conduct performance and load testing using JMeter / BlazeMeter and drive optimization actions. • Collaborate with ML engineers to support model packaging, versioning, deployment, and monitoring in production. • Support Agile delivery through automation, release coordination, and continuous improvement. • Track and optimize cloud infrastructure costs across environments.
• 3 to 6 years of relevant experience in AI platform enablement, DevOps, Cloud Engineering, or related roles • Proven experience supporting production workloads on Microsoft Azure • Hands-on exposure to CI/CD automation, container platforms, and cloud-native architectures
Education
• Bachelor’s degree required (Engineering, Computer Science, or related discipline preferred) • Technical Skills • Azure DevOps Pipelines and GitHub Actions • YAML-based CI/CD automation • Azure Kubernetes Service (AKS) • Docker and Helm • Azure App Service, Virtual Machines, VNet • Azure Data Lake Storage (ADLS Gen2) • Azure SQL Database • Azure Container Registry (ACR) • Azure Key Vault • Azure Data Factory and Databricks • Azure Monitor and Log Analytics • Bash, PowerShell, Python (basic)
• Professional Skills • Strong problem-solving and analytical mindset • Excellent collaboration and stakeholder communication skills • Experience working in Agile / Scrum teams • High ownership, accountability, and execution focus • Ability to work across DevOps, data, and AI engineering domains • Continuous improvement and automation-first mindset