Remote Mlops Data Engineer Canada

Design scalable MLOps pipelines remotely from Canada, using Python, Apache Spark, and Databricks for machine learning workloads. Help productionize reliable data systems.This MLOps / Data Engineer role bridges data science and production engineering for global digital audio advertising. You will build automated pipelines, optimize distributed processing, and deploy machine learning workflows. The work involves large-scale listener datasets, actionable audience intelligence, and cross-functional collaboration with data scientists and engineering teams.Key Responsibilities:
Build automated CI/CD pipelines for machine learning workflowsDevelop distributed data pipelines with Apache Spark and PySparkConfigure Databricks and optimize cluster performance and costsDeploy models through scalable APIs and batch systemsImplement testing, monitoring, and alerting mechanismsRequirements:
Professional Data Engineering, MLOps, or DevOps experienceStrong Python and Apache Spark programming skillsAdvanced Databricks experience with Delta LakeCI/CD experience with GitHub Actions or comparable toolsResidence in Ontario or Quebec, CanadaApply MLOps, Python, Spark, and Databricks expertise to dependable audience intelligence infrastructure for digital advertising.
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