Manager - AI Engineering

Aimlroles; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Aimlroles is seeking an AI Engineer with strong DevOps and Cloud Engineering expertise to design, deploy, and operate scalable AI/data platforms on Microsoft Azure. The role emphasizes automation, reliability, and secure delivery across the DevOps, data, and AI domains.

The candidate should have hands-on experience with CI/CD automation, AKS, Docker, Helm, and Azure services, along with collaboration in Agile/Scrum teams.

Qualifications

• Bachelor’s degree in Engineering, CS or related field is required.
• 3–6 years of experience in AI platform enablement, DevOps, Cloud Engineering, or related roles.
• Hands-on experience supporting production workloads on Microsoft Azure.

Responsibilities

• Build, manage, and optimize CI/CD pipelines for AI, data, and application workloads.
• Deploy and operate AI-enabled 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 via ETL workflows using Azure Data Factory and Databricks.
• Implement secure configuration and secrets management using Azure Key Vault.
• Monitor platform health and performance using Azure Monitor and Log Analytics.
• Conduct performance and load testing using JMeter/BlazeMeter and optimize accordingly.
• Collaborate with ML engineers on 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.

Skills

CI/CD automation

Collaboration

Agile/Scrum

Problem-solving

Ownership

Education

Bachelor’s degree in Engineering/CS

Tools

Azure DevOps

GitHub Actions

AKS

Docker

Helm

AKS/Cloud Infra

Azure App Service

Azure VMs

Azure Data Factory

Databricks

Azure Monitor

Azure Data Lake Storage Gen2

Azure SQL Database

ACR

Azure Key Vault

Bash

PowerShell

Python (basic)

Job description

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