AI Engineer
EisnerAmper
full-time
Posted on:
Location Type: Hybrid
Location: Philadelphia • New York, Pennsylvania • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 - $200,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AzureCloud
About the role
- 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.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
- 5-7+ years in MLOps and/or AIOps, ideally within Azure cloud environment
- hands-on experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry
Benefits
- flexibility to manage your days in support of our commitment to work/life balance
- culture that has received multiple top “Places to Work” awards
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
MLOpsAIOpsAI model deploymentperformance optimizationcost optimizationinference infrastructureAzure MLGitHub Actionsversion controlAPI management
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Data Science