Senior AI Engineer — Enterprise MLOps on Azure

EisnerAmper; Miami (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

EisnerAmper is seeking a Senior AI Engineer specializing in MLOps and AIOps to deploy, operate, and optimize enterprise AI solutions on Azure. You will collaborate with AI Developers, Product Owners, and Cloud Architects to ensure reliable, scalable, and cost-effective systems across tax, audit, advisory, and client-facing apps.

The role emphasizes secure, observable, and governed machine learning deployments with real business impact and requires building AI into enterprise operations.

Qualifications

• 5-7+ years in MLOps and/or AIOps.
• Hands-on experience with Azure cloud services.
• Experience with Azure ML, Synapse, Data Lake, Cosmos DB, App Services.

Responsibilities

• Deploy and monitor AI models across Azure services with 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 CI/CD and lifecycle management using Azure ML and GitHub Actions.
• Ensure compliant change management for all AI deployments with auditability and governance controls.

Skills

MLOps

AIOps

Azure

Telemetry

CI/CD

Cost optimization

Governance

Model deployment

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Azure ML

Synapse

Data Lake

App Services

Cosmos DB

Azure AI Foundry

Job description

EisnerAmper is seeking a Senior AI Engineer specializing in MLOps and AIOps to deploy, operate, and optimize enterprise AI solutions on Azure. You will collaborate with AI Developers, Product Owners, and Cloud Architects to ensure reliable, scalable, and cost-effective systems across tax, audit, advisory, and client-facing apps.

The role emphasizes secure, observable, and governed machine learning deployments with real business impact and requires building AI into enterprise operations.