Applied Computer Vision Engineer - Data Driven Development
Tasks
- Analyze models and data workflows for optimizations
- Architect database schemas and queries
- Build Azure based data pipelines
- Design scalable data pipelines
- Develop automate and manage evaluation pipelines
- Develop automate and manage training pipelines
- Document system architecture and data flows
- Implement cloud-based workflows
- Implement data quality monitoring and infrastructure as code
- Integrate ML pipelines with Azure Blob Storage and Azure ML Compute
- Process version and manage large image datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Blob | Azure Blob Storage | Azure ML | Azure ML Compute | Blob Storage | Computer Vision | Data Pipelines | Database Design | Databricks | Docker | Git | Infrastructure as Code | Linux | MLOps | Model Evaluation | Model Training | Object-Oriented | Object-oriented programming | PyTorch | Python | Ray | TensorFlow | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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