Senior AI Engineer — Azure MLOps & AIOps Expert

EisnerAmper

Atlanta (GA)

On-site

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

EisnerAmper seeks a Senior AI Engineer to own MLOps and AIOps initiatives, deploying enterprise AI on Azure and working with AI developers, governance leaders, and cloud architects to ensure reliable, scalable ML deployments with strong controls.

The role emphasizes observability, security, and cost efficiency, with CI/CD pipelines using Azure ML and GitHub Actions, serving tax, audit, advisory, and client-facing applications.

Qualifications

  • 5-7+ years in MLOps and/or AIOps, ideally within Azure cloud environment with hands-on experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry.
  • Consulting background with a strong bias for action.

Responsibilities

  • Deploy and monitor AI models across Azure services with robust telemetry for performance, drift, and availability.
  • Manage model upgrades including APIs and UIs with structured rollout, version control, and rollback support.
  • Optimize performance and cost through testing, profiling, and tuning of inference infrastructure and pipelines.
  • Implement MLOps pipelines for continuous integration, deployment, and lifecycle management using Azure ML and GitHub Actions.
  • Ensure compliant change management for all AI-related deployments, with auditability, security, and governance controls.

Skills

MLOps
AIOps
Azure cloud
Consulting background

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field

Tools

Azure ML
Synapse
Data Lake
App Services
Cosmos DB
Azure AI Foundry

Job description

EisnerAmper seeks a Senior AI Engineer to own MLOps and AIOps initiatives, deploying enterprise AI on Azure and working with AI developers, governance leaders, and cloud architects to ensure reliable, scalable ML deployments with strong controls.

The role emphasizes observability, security, and cost efficiency, with CI/CD pipelines using Azure ML and GitHub Actions, serving tax, audit, advisory, and client-facing applications.

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