Databricks Machine Learning Engineer

Turn large-scale listener data into production intelligence with Databricks, Delta Lake, structured streaming, and feature engineering. Work fully remotely within Canada.As an MLOps / Data Engineer, you will productionize machine learning models supporting digital audio advertising platforms. You will manage Databricks environments, build distributed pipelines, and collaborate with data scientists on scalable APIs and batch-processing systems. Your work will support structured, machine-readable audience signals.Key Responsibilities:
Maintain Databricks infrastructure and schedule production jobsOptimize distributed processing using Spark, PySpark, and ScalaCollaborate with data scientists on model deploymentSupport continuously available, machine-readable data feedsEvaluate infrastructure performance, scalability, and maintainabilityRequirements:
Advanced Databricks experience including Delta LakeExperience with structured streaming and feature engineeringStrong Python skills and hands-on Apache Spark experienceCloud familiarity across AWS, Azure, or Google CloudExperience deploying workloads with Kubernetes or OpenShiftUse Databricks, Spark, and machine learning engineering skills to shape dependable data infrastructure for advertising systems.
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