Applied Machine Learning Platform Engineer
Tasks
- Automate analysis workflows
- Build and maintain data pipelines
- Conduct code reviews
- Design database schemas for ML datasets
- Design scalable training infrastructure for computer vision
- Implement distributed training pipelines
- Maintain documentation for platform components
- Manage feature stores and data versioning
- Track ML experiments
- Write integration tests for ML pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Bigtable | CI/CD | Code Reviews | Data Pipelines | Data Versioning | Distributed Training | Docker | DynamoDB | Experiment tracking | FastAPI | Feature Stores | GCP | Git | GitHub Actions | Helm | Hyperparameter Tuning | Kubernetes | MLflow | Model Training | PostgreSQL | Prefect | Pydantic | Pytest | Python | Terraform | Weights and Biases | Workflow Orchestration
Education
N/A
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