Perform hands-on assessment of Azure ML models, pipelines, dependencies, and operational processes.
Review existing Global AI Platform capabilities and identify required enhancements.
Define migration patterns, standards, and the technical approach.
Lead delivery of the pilot migration for two selected models.
Coordinate activities across Azure ML, Databricks, and platform engineering resources.
Contribute hands-on to architecture, engineering, and delivery activities.

🎯 Requirements

Demonstrate strong experience with Azure ML and enterprise MLOps platforms.
Bring hands-on experience with ML platform migration.
Possess a strong engineering background with proven hands-on delivery experience.
Demonstrate the ability to contribute across architecture, engineering, and delivery activities.
Show experience coordinating technical activities across ML and platform engineering teams.
Be eligible for BPSS clearance.

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