AI Data Architecture
HKD 150K-230K (estimate) Senior-level Full Time
Tasks
- Contribute to architecture roadmaps
- Define enterprise data architecture standards
- Design AI data ingestion pipelines
- Develop AI data architecture strategies
- Ensure SLA monitoring for model performance
- Ensure ethical secure compliant AI use
- Implement data preprocessing workflows
- Maintain data quality monitoring
- Participate in architecture assessments and reviews
- Plan implementation and migration risk management
- Support enterprise architecture stakeholders
- Translate business requirements into architecture
- Troubleshoot ML deployments issues
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Azure | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Lake | Azure Event | Azure Event Hubs | Azure Machine Learning | Azure OpenAI | Azure SQL | Big Data | Cloud Architecture | Cosmos DB | Data Governance | Data Ingestion | Data Lake | Data Pipelines | Data Preprocessing | Data Quality | Databricks | Deep learning | Event Hubs | Google Gemini | LLM | Machine Learning | Model Governance | MongoDB | Monitoring | Neo4j | NoSQL | Oracle | Power BI | Prompt engineering | Python | R | RAG | Redis | SQL | SQL Server | Security Compliance | Tableau
Education
N/A
Roles
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