Azure DevOps With AI

Viraaj HR Solutions Private Limited; Mumbai; In loco; INR 1.500.000 - 2.500.000; Tempo pieno

Vantaggi offerti da questo lavoro

Access to Azure AI certification Spons

GenAI upskilling programs

On-site tech hub with daily sprints &

Descrizione del lavoro

Viraaj HR Solutions Private Limited is hiring for a Senior Azure DevOps Engineer to architect AI-enhanced CI/CD pipelines in a fast-scaling tech consultancy. You will integrate AI/ML models into deployment gates, observability, and release workflows, enabling autonomous operations across global client environments.

You will work on IaC deployments with ARM/Bicep, leverage Azure Monitor and MLflow for model versioning and monitoring, and collaborate with data engineers to embed MLOps into Azure

Competenze

• Must have hands-on experience designing and deploying Azure DevOps pipelines integrated with AI/ML models for automated testing, deployment gating, and anomaly detection.

Mansioni

• Design and deploy Azure DevOps pipelines integrated with AI/ML models for automated testing, deployment gating, and anomaly detection.
• Implement AI-driven observability solutions using Azure Monitor, Application Insights, and custom LLM-based alerting logic.
• Orchestrate IaC deployments via Azure CLI, ARM templates, and Bicep with drift detection.

Conoscenze

Azure DevOps

CI/CD pipelines

Python

PowerShell

GitOps

MLflow

LangChain

Strumenti

Azure Monitor

ARM Templates

GitHub Actions

Azure ML

Descrizione del lavoro

About The Opportunity

A fast-scaling technology consultancy in the Enterprise AI & Cloud Automation sector, we architect intelligent DevOps pipelines that fuse Azure-native tooling with generative AI capabilities to accelerate software delivery, improve system reliability, and enable autonomous operations for global enterprises. Our teams build smart CI/CD workflows, AI-augmented monitoring, and self-healing infrastructure—turning DevOps into a strategic growth engine.

Role & Responsibilities

• Design and deploy Azure DevOps pipelines integrated with AI/ML models for automated testing, deployment gating, and anomaly detection.
• Implement AI-driven observability solutions using Azure Monitor, Application Insights, and custom LLM-based alerting logic.
• Orchestrate infrastructure-as-code (IaC) deployments via Azure CLI, ARM templates, and Bicep—ensuring reproducibility and drift detection.
• Collaborate with data engineers to embed MLOps into Azure Pipelines, enabling model retraining and versioning via MLflow/Azure ML.
• Build AI-enhanced release management workflows using Azure DevOps REST APIs and custom Python/PowerShell scripts.
• Champion DevOps best practices: Infrastructure-as-Code, GitOps, blue-green deployments, and shift-left security within AI-augmented pipelines.

Skills & Qualifications

• Must-Have
• Azure DevOps
• CI/CD Pipelines
• Azure Monitor
• ARM Templates
• Python
• PowerShell
• GitOps
• MLflow
• Preferred
• Azure ML
• LangChain
• GitHub Actions

Benefits & Culture Highlights

• Work on cutting-edge AI-DevOps fusion projects with global clients.
• Access to Azure AI certification sponsorships and GenAI upskilling programs.
• On-site tech hub environment with daily innovation sprints and hackathons.

Skills: infrastructure,powershell,devops,azure,pipelines,python