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 workflows

Develop distributed data pipelines with Apache Spark and PySpark

Configure Databricks and optimize cluster performance and costs





Deploy models through scalable APIs and batch systems

Implement testing, monitoring, and alerting mechanisms

Requirements

Skilled Data Engineering, MLOps, or DevOps experience

Strong Python and Apache Spark programming skills

Advanced Databricks experience with Delta Lake

CI/CD experience with GitHub Actions or comparable tools

Residence in Ontario or Quebec, Canada

Apply MLOps, Python, Spark, and Databricks expertise to dependable audience intelligence infrastructure for digital advertising.

📌 Remote MLOps Data Engineer Canada (Winnipeg)
🏢 Jobgether
📍 Winnipeg