AI Engineer – MLOps & Azure Deployments
EisnerAmper LLP
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Job summary
EisnerAmper seeks an 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 scalable, secure, and cost‑effective deployments across tax, audit, advisory, and client‑facing apps.
Ideal candidates have 3+ years in MLOps/AIOps, hands‑on experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry, plus
Qualifications
- 3+ years in MLOps and/or AIOps, ideally within Azure cloud environment.
- Hands-on with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry.
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
Education
Tools
Job description
EisnerAmper seeks an 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 scalable, secure, and cost‑effective deployments across tax, audit, advisory, and client‑facing apps.
Ideal candidates have 3+ years in MLOps/AIOps, hands‑on experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry, plus
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