Machine Learning Engineer II, Infrastructure (머신러닝 엔지니어 II - 인프라)
Tasks
- Build high performance ML systems
- Build machine learning infrastructure
- Design experiments to improve ad quality
- Design machine learning infrastructure
- Develop data pipelines
- Develop model deployment workflows
- Document processes and best practices
- Document system architecture
- Ensure reproducibility
- Evaluate new ML tools
- Implement CI CD for machine learning
- Implement model versioning
- Improve system performance
- Integrate new ML frameworks
- Maintain machine learning infrastructure
- Monitor ML system reliability
- Monitor model deployment
- Operate ML systems on GPUs and TPUs
- Optimize data pipelines
- Troubleshoot ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Apache Beam | Apache Spark | Azure | C++ | CI/CD | Docker | GCP | JAX | Java | Keras | Kubernetes | PyTorch | Python | Rust | TensorFlow
Education
N/A
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