Senior Machine learning Engineer
Tasks
- Architect high performance multimodal data loaders
- Build and maintain deep learning infrastructure
- Design CI pipelines with GitHub Workflows
- Develop Grafana dashboards for monitoring GPU efficiency and unit test durations
- Maintain dataset update strategies with deltas
- Manage Azure storage and hybrid Kubernetes clusters
- Modernize data processing pipelines with Ray and Kubernetes
- Optimize data consumption using PyArrow and SQL
- Perform code reviews and enforce software architecture standards
- Set up evaluation pipelines for embedded targets and QNN boards
- Support model compression experiments and on target performance verification
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Azure Blob | Azure Blob Storage | Azure ML | Blob Storage | CI/CD | Deep learning | Docker | Embedded Systems | GPU | GitHub Actions | GitHub Workflows | Grafana | Kubernetes | Model Compression | Multimodal Learning | Prometheus | PyArrow | PyTorch | Python | Ray | SQL | Virtual Network
Education
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