Machine Learning Software Engineer (HYPERCONNECT AI | 전문연구요원 편입/전직 가능)
Tasks
- Build automated continuous feature quality monitoring
- Build content moderation systems
- Build continuous learning pipelines for model retraining
- Build event driven streaming recommendation systems
- Build personalized recommendation systems
- Build real-time data pipelines for model inference
- Design and implement machine learning backend applications
- Design low latency high throughput scalable architectures
- Develop distributed systems and caching strategies
- Develop feature store and feature pipelines
- Develop microservice architectures
- Implement asynchronous processing
- Provide ML data processing ML training and ML deployment workflows
- Run A B testing experiment systems
- Set up logging, monitoring, and alerting
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Alerting | Apache Flink | Asynchronous processing | B testing | CQRS | Caching | Data Processing | Distributed Systems | Event Sourcing | FastAPI | Feature Store | Go | Java | JavaScript | KSQL | Kotlin | Logging | Microservices | Monitoring | NestJS | NoSQL | Python | RDBMS | Real Time | Real-time Data | Real-time Data Processing | SQL | Spark | Spring Boot | TypeScript
Education
N/A
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