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 up-to-date 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 MLOps / Data Engineer (Canada)
🏢 Jobgether
📍 Canada