Senior AI Engineer, MLOps & AIOps (Azure)

EisnerAmper

Charlotte (NC)

On-site

USD 140,000 - 200,000

Full time

2 days ago

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Job summary

EisnerAmper is seeking a Senior AI Engineer specializing in MLOps and AIOps to deploy, operate, and optimize enterprise-grade AI solutions on Azure. You will collaborate with AI developers, product owners, governance leaders, and cloud architects to ensure reliability, observability, and cost-effectiveness across client-facing applications.

Join a fast-growing EisnerAI team within EisnerAmper, focused on making AI integral to enterprise operations with secure, governed machine learning

Qualifications

5–7+ years in MLOps and/or AIOps, ideally within Azure cloud environment.
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field preferred.
Experience collaborating with AI developers, product owners, governance and cloud architects.

Responsibilities

Deploy and monitor AI models across Azure services with telemetry for performance, drift, and availability.
Manage model upgrades including APIs and UIs with controlled rollout and rollback support.
Optimize inference infrastructure for performance and cost via profiling and tuning.
Implement MLOps pipelines for CI/CD and lifecycle management using Azure ML and GitHub Actions.
Ensure compliant change management with auditability and governance controls.