Jobgether · Canada
Build and maintain CI/CD pipelines for ML workflows and distributed data pipelines for listener datasets in digital audio advertising. Work with Apache Spark, PySpark, Scala, and Databricks, and deploy ML models via APIs and batch systems. Collaborate with data scientists on production ML infrastructure.
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a MLOps / Data Engineer based in Canada.
As an MLOps / Data Engineer, you will play a key role in bridging data science and production engineering, transforming machine learning models into reliable, scalable, and high-performance solutions. You will contribute to the development of advanced data infrastructure supporting the global digital audio advertising ecosystem. Working with large-scale listener datasets, you will design automated pipelines, optimize distributed data processing, and productionize machine learning workflows. Your work will help turn audience intelligence into structured, actionable signals for modern advertising platforms and emerging AI-driven buying systems. You will collaborate closely with data scientists and engineering teams in a technically advanced, cross-functional environment. This fully remote opportunity offers the chance to shape the future of data-driven advertising technologies.
How Jobgether works:
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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