
Machine Learning Engineer with Azure Databricks
2 days ago
- Design, implement, and maintain data infrastructure to process and store large-scale vision data sets
- Build automated workflows for data ingestion, transformation, and validation within the Azure ML ecosystem
- Develop monitoring systems and data quality controls for AML pipeline operations
- Create and maintain data asset management strategies within Azure ML workspaces
- Partner with Data Scientists to optimize data preparation workflows for vision model training
- Implement efficient data storage and access patterns using Azure ML datastores
- Establish best practices for pipeline logging, monitoring, and error handling
Minimum Qualifications
- Bachelor's degree in Computer Science or Data Science
- Two (2) years of Data Engineering experience
- Two (2) years of experience programming in YAML and Python
- Experience building automated ML based workflows
- Experience preparing data sets for ML model training
- Immigration sponsorship not available for this role
Requirements:
- Experience using Azure Databricks
- Experience using Azure Machine Learning (AML) and AML Python SDK
- Experience using Pandas / NumPy
- Building and maintaining AML pipelines
- Proficiency with Azure ML datastores and data asset management
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