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ML Engineer - Databricks: Scale ML & Build Microservices

Posted today

jade globalSan Jose (CA)

SENIORITY

Lead

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About the role

Jade Global is seeking an ML Engineer - Databricks to design and deploy scalable ML models on cloud platforms such as Azure ML Studio, AWS, or GCP. You will build end-to-end ML workflows, publish microservices and APIs, and automate scoring processes while optimizing performance. Collaborate with product and engineering teams to follow established architecture and deployment practices, contributing to the DT GoToMarket strategy and ensuring robust, scalable ML systems with monitoring and alerts.

Before you apply

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Your profile is current

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Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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