AI Azure ML Engineer
Tasks
- Architect and deploy AI solutions on Microsoft Azure
- Create and manage vector indexes
- Design end to end AI and ML architectures
- Develop AI search and retrieval solutions
- Ensure compliance with security cost and performance standards
- Implement MLOps and CI/CD pipelines
- Monitor AI models in production
- Perform feature engineering
- Preprocess data and ensure data quality
- Select and integrate ML frameworks and tools
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure ML | Azure data pipelines | CI/CD | Data Pipelines | Data Preprocessing | Data Quality | Deep learning | Embeddings | Feature Engineering | Information Retrieval | MLOps | Machine Learning | Microsoft Azure | Microsoft Fabric | Model Deployment | Model Monitoring | Model Training | Power Platform | Vector Databases
Education
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