ML Engineer

Largeton Group • Full-time • Seattle, WA, US • 3m ago

Job Role: ML Engineer
Location: Seattle, WA (Hybrid - 3 days local preferred)
Duration: 6 to 12 Months
Mode of Interview: Video
Must have LinkedIn profile
Job Responsibilities: Setting up and managing Unity Catalog in Databricks, designing and operationalizing Feature Stores, building efficient data pipelines, collaborating with teams using Databricks, Azure Cosmos DB, and other Azure tools, monitoring and optimizing the performance of pipelines and feature stores.
Required Skills: Strong experience with Unity Catalog in Databricks, hands-on experience with Databricks Feature Store, 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, strong problem-solving skills, proficiency with Java, Python and Spark, experience with monitoring tools like Splunk or Datadog, familiarity with AKS for deploying and managing containers.

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