招聘AI基础设施及MLOps工程师

Client is looking for an experienced AI Data Engineer (MLOps/AIOps) to deploy, monitor, and optimize enterprise AI solutions on Azure. The role focuses on building scalable, secure, and high-performing AI systems while ensuring operational excellence across the AI lifecycle.

Key Responsibilities

• Deploy, monitor, and maintain AI/ML models on Azure.
• Build and manage MLOps pipelines for CI/CD and model lifecycle management.
• Monitor model performance, drift, availability, and system health.
• Manage releases, version control, and production deployments.
• Optimize AI infrastructure for scalability, reliability, and cost efficiency.
• Ensure governance, security, compliance, and auditability.

Must-Have Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 3+ years of MLOps/AIOps experience, preferably in Azure environments.
• Strong expertise in Azure ML, Synapse, Data Lake, Cosmos DB, App Services, and Azure AI Foundry.
• Experience managing production-scale AI/ML solutions.
• Hands-on experience with Azure DevOps, GitHub Actions, Key Vault, App Insights, and Log Analytics.
• Knowledge of AI workflows, model fine-tuning, RLHF, and evaluation frameworks.
• Experience with model monitoring, telemetry, performance testing, and incident management.
• Strong communication and stakeholder management skills.

Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
3+ years of MLOps/AIOps experience, preferably in Azure environments.
Strong expertise in Azure ML, Synapse, Data Lake, Cosmos DB, App Services, and Azure AI Foundry.
Experience managing production-scale AI/ML solutions.
Hands-on experience with Azure DevOps, GitHub Actions, Key Vault, App Insights, and Log Analytics.
Knowledge of AI workflows, model fine-tuning, RLHF, and evaluation frameworks.
Experience with model monitoring, telemetry, performance testing, and incident management.
Strong communication and stakeholder management skills.