Software Engineer, Data Engineering
Tasks
- Build ML research platform with reliability
- Build backend and fullstack scientific applications
- Develop MLOps components
- Ingest manage and serve scientific data
- Optimize compute resources and accelerators for training and inference
- Optimize performance of ML models
Perks/Benefits
Skills/Tech-stack
C++ | Cloud Computing | Data Modeling | Deep learning | Django | GCP | Go | Java | Kubernetes | MLOps | PostgreSQL | Pydantic | Python | Relational Data | Relational Data Modeling | SQLAlchemy
Education
Roles
Regions
Countries
States
Cities
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