Machine Learning Engineer

WE'RE HIRING: ML(Machine Learning) Engineer

Location: Vancouver, CA (Onsite)

Duration: 6+ Months

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