Job Description

Job Summary
We are looking for a results-driven AI Engineer with solid 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 explicit focus on automation, reliability, and secure delivery.
This role partners closely with application, data, and machine learning teams to ensure AI solutions are deployed efficiently, monitored effectively, and operated at scale in an Agile setting.

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.

Required 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 an

📌 Artificial Intelligence Engineer Vasanthanagar
🏢 EXL
📍 Vasanthanagar