Manager - AI Engineering

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Skills you'll use

What you'll do

• 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.

About EXL

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