Investigate current Azure ML development patterns and Data Scientist workflows.
Analyse training pipelines, deployment pipelines, model artefacts, and monitoring capabilities.
Document dependencies, integrations, and data flows.
Extract and transition model assets, configurations, and deployment patterns.
Support the migration and testing of pilot models.
Provide recommendations for migration and optimisation.

🎯 Requirements

Strong hands-on experience with Azure ML.
Practical experience with Python and machine learning frameworks.
Experience working with Azure DevOps and CI/CD.
Knowledge of model lifecycle management and MLOps practices.
Experience supporting production machine learning workloads.
Ability to investigate and document development patterns, pipelines, dependencies, integrations

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