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Largeton Group

ML Engineer 

Largeton Group
United States · Full-time · Entry
  • 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.

Key Skills

Ranked by relevance

unity machine learning datadog python splunk spark java etl
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United States

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Posted
Feb 19, 2025
Type
Full-time
Level
Entry
Location
Seattle
Company
Largeton Group

Industries

Information Services

Categories

Engineering Information Technology

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