Artificial Intelligence Data Engineer
Tasks
- Build MLOps pipelines for continuous integration and deployment
- Deploy AI models on Azure
- Manage AI model lifecycle and governance controls
- Manage model version upgrades with rollout and rollback
- Monitor model performance drift and availability
- Optimize inference infrastructure performance and cost
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AI Foundry | App Insights | App Service | Azure AI | Azure AI Foundry | Azure App | Azure App Service | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | Azure Machine Learning | Azure Managed | Azure Managed Identity | Azure Synapse | Azure Synapse Analytics | B testing | Cosmos DB | Data Lake Storage | Domain Adaptation | Fine Tuning | GitHub Actions | Human-in-the-loop | Incident Response | Instruction Tuning | Key Vault | Log Analytics | Logging | Machine Learning | Managed Identity | Model Observability | Monitoring | Prompt Flow | RLHF | Synapse Analytics | Telemetry | The Loop
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