Senior Machine Learning Engineer with Azure Databricks
11 hours 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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