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:

- Professional Data Engineering, MLOps, or DevOps experience
- Solid 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.

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📌 Remote MLOps Data Engineer Canada (Quebec City)
🏢 Jobgether
📍 Quebec City