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Position: ML Engineer at Seattle, Washington, USA
Email: [email protected]
Position: ML Engineer

Location: Seattle , WA

Duration: 6-12 Months

Must Unity Catalog in Databricks

We are looking for an ML engineer with expertise in Unity Catalog and Feature Store in Databricks to help us build and maintain a solid foundation for our data and machine learning workflows. You will work on organizing data, managing access,
and enabling machine learning models to operate efficiently in production

What You Will Do -

Set up and manage Unity Catalog in Databricks to organize and secure data access across teams
Design and operationalize Feature Stores to support machine learning models in production
Build efficient data pipelines to process and serve features to ML workflows
Collaborate with teams using Databricks, Azure Cosmos DB, and other Azure tools to integrate data solutions
Monitor and optimize the performance of pipelines and feature stores

What We are Looking For -

Strong experience with Unity Catalog in Databricks for managing data assets and access control
Hands-on experience working with Databricks Feature Store or similar solutions
Knowledge of building and maintaining scalable ETL pipelines in Databricks
Familiarity with Azure tools like Azure Cosmos DB and ACR
Understanding of machine learning workflows and how feature stores fit into the pipeline
Strong problem-solving skills and a collaborative mindset
Proficiency with Java
Proficiency in Python and Spark for data engineering tasks
Experience with monitoring tools like Splunk or Datadog to ensure system reliability
Familiarity with AKS for deploying and managing containers

Thanks & Regards,

Anudeep jallu
|
Sr.Recruiter

[email protected]

linkedin.com/in/deepu-jallu-5bb01a270

https://www.vsoftconsulting.com/

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Keywords: machine learning database information technology Washington
Position: ML Engineer
[email protected]
[email protected]
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11:59 PM 19-Feb-25


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Location: Seattle, Washington