R&D-023 MLOps Engineer
Heiwajima, Tokyo, Japan
JPY 7000K-12000K (estimate) Senior-level Full Time
Tasks
- Build MLOps tools and platforms
- Collaborate on ML infrastructure and data preprocessing
- Deploy distributed training clusters
- Design large-scale ML pipelines
- Implement ML monitoring evaluation and deployment
- Optimize ML infrastructure cost performance reliability
- Optimize model performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Azure | Dagster | Data Pipelines | Data Quality | Data quality monitoring | Deep learning | Distributed Systems | ELT | ETL | ETL Data Pipelines | ETL data | GCP | GPU Performance | GPU Performance Optimization | GPU memory | GPU memory management | Hyperparameter Optimization | JAX | Kedro | Memory Management | Performance optimization | PyTorch | Python | Quality monitoring | ROS | ROS2 | SQL
Education
Master of Computer Science | Master of Engineering | Master of Science
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