Cloud Architect

10 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Location - Chennai, Bangalore, Hyderabad, Pune


About the Role

We’re looking for an Azure AI/ML Platform Architect to help build and manage AI platforms on Microsoft Azure. You’ll work closely with teams to turn business needs into AI-powered solutions, design cloud infrastructure, and support smooth deployment of machine learning models. This role involves hands-on Python coding and working with modern tools to make AI easier to develop and maintain.


What You’ll Do

• Design and build AI/ML platforms using Azure tools like Azure ML, Cognitive Services, Azure OpenAI, and Azure AI Foundry.

• Turn business problems into technical solutions that are secure, scalable, and reliable.

• Set up cloud infrastructure and data pipelines using Azure Networking, Storage, Synapse, Data Factory, and Databricks.

• Deploy containerized applications using Azure Kubernetes Service (AKS).

• Automate infrastructure setup and software delivery with Terraform and CI/CD tools.

• Develop and maintain machine learning models using Python.

• Package ML models as APIs or batch jobs for easy deployment.

• Implement MLOps best practices to track experiments, manage models, and handle deployments.

• Build and manage CI/CD pipelines using tools like Jenkins, GitHub Actions, or Azure DevOps.

• Monitor applications and infrastructure using Prometheus and Grafana to keep things running smoothly.


Skills You Need

• Experience with Microsoft Azure, Azure ML, Azure OpenAI, Cognitive Services, and Azure AI Foundry.

• Strong Python programming skills for machine learning projects.

• Familiarity with data tools like Azure Synapse, Data Factory, and Databricks.

• Knowledge of infrastructure tools such as Terraform, Docker, Kubernetes (AKS), and Azure DevOps.

• Experience with one or more CI/CD tools like Jenkins or GitHub Actions.

• Basic understanding of monitoring tools like Prometheus and Grafana.

• Understanding of machine learning concepts and MLOps practices.

• Bonus if you have experience with AWS or Google Cloud Platform.


Certifications (Nice to Have)

• Microsoft Certified: Azure Solutions Architect Expert

• Certified Kubernetes Administrator (CKA)

• HashiCorp Certified: Terraform Associate


Experience

• Around 10 years of IT experience, including 5 years working with cloud and AI/ML platforms.

• Proven track record building AI/ML solutions on Azure.

• Hands-on Python experience for developing and deploying ML models.

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