AI Engineer - MLOps on Azure for Enterprise
EisnerAmper
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Benefits offered by this job
Job summary
EisnerAmper is seeking an AI Engineer (MLOps/AIOps) to deploy and operate enterprise‑grade AI solutions on Azure. You will collaborate with AI Developers, Product Owners, Governance leaders and Cloud Architects to ensure reliable, scalable, and cost‑effective AI systems across tax, audit, advisory, and client applications.
The role emphasizes governance, security, and observability, extending beyond traditional DevOps, and offers the opportunity to drive AI into enterprise operations with
Qualifications
- Bachelor’s degree in CS, engineering, data science or related field.
- 3+ years in MLOps and/or AIOps, with hands-on Azure cloud experience.
Responsibilities
- Deploy and monitor AI models across Azure services with telemetry for performance and availability.
- Manage model upgrades including APIs and UIs with structured rollout and rollback.
- Optimize performance and cost via profiling and tuning of inference pipelines.
- Implement MLOps pipelines for CI/CD using Azure ML and GitHub Actions.
- Ensure compliant change management with auditability, security and governance.
Skills
Education
Tools
Job description
EisnerAmper is seeking an AI Engineer (MLOps/AIOps) to deploy and operate enterprise‑grade AI solutions on Azure. You will collaborate with AI Developers, Product Owners, Governance leaders and Cloud Architects to ensure reliable, scalable, and cost‑effective AI systems across tax, audit, advisory, and client applications.
The role emphasizes governance, security, and observability, extending beyond traditional DevOps, and offers the opportunity to drive AI into enterprise operations with
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