Recommendation System Architecture Engineer- Soaring Star Talent Program
Singapore, Singapore
Senior-level Full Time Found 14d ago
Tasks
- Abstract common components and services
- Balance computing resources and effectiveness
- Balance model training and operation costs
- Build data-quality analysis tools
- Build recommendation and data middle-offices
- Construct multimodal data frameworks
- Design recommendation system architecture
- Design schema evolution mechanisms
- Develop high-performance storage engines
- Ensure data privacy and security
- Ensure real-time data accuracy
- Handle cross-domain heterogeneous data
- Identify and retire ineffective strategies
- Implement adaptive fault diagnosis
- Improve data processing and model training efficiency
- Leverage large model capabilities for optimization
- Manage recommendation strategies
- Optimize large-scale model efficiency for recommendation
- Optimize system performance
- Perform offline evaluation
- Resolve system bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
AI model co-design | CV | Co-design | Cost Optimization | Cross domain | Cross-domain data | Cross-domain data handling | Data Privacy | Data Processing | Data Quality | Data Quality Management | Data Stream | Data handling | Data stream processing | Distributed Systems | Engine Development | Fault Diagnosis | Heterogeneous computing | High Performance | High-Performance Computing | Model Optimization | Model co-design | Multimodal AI | Multimodal Data | Multimodal Data Processing | NLP | Performance Computing | Python | Quality management | Real Time | Real-time Data | Real-time Data Processing | Schema Design | Storage Engine | Storage engine development | Stream processing | System Architecture
Education
Bachelor's | Master's | PhD
Language: en |
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Clicks: 0
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