AI Azure ML Engineer
Tasks
- Architect AI solutions on Azure
- Build data ingestion pipelines
- Create CI/CD pipelines
- Deploy AI models
- Deploy and monitor models
- Design end-to-end ML architectures
- Ensure data quality
- Evaluate and integrate ML frameworks
- Implement MLOps
- Manage vector indexes
- Perform feature engineering
- Preprocess and analyze data
- Set up production monitoring
- Support AI search and retrieval use cases
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Azure DevOps | Azure Machine Learning | CI/CD | Data Preprocessing | Data Quality | Feature Engineering | Information Retrieval | MLOps | Machine Learning | Microsoft Azure | Model Deployment | Model Monitoring | Vector Databases | Vector embeddings
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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