- Location
- Toronto, Ontario, Canada · published
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Workable
Description
We are seeking a Senior MLOps Engineer based in Canada to join our data and machine learning team. This role will co-own MLOps practices at Fluent Media and establish standards for model deployment, serving, scaling and infrastructure efficiency. Working with ML scientists, Data Engineering and Product, this engineer will ensure models support accurate ad selection through reliable production systems at an optimal cost to serve.
What You’ll Do
- Partner with ML scientists to operationalize models in Databricks and AWS.
- Build, monitor and optimize automated pipelines for training, testing and deployment.
- Establish standards for model versioning, automated testing, release controls and performance monitoring.
- Design and scale model-serving infrastructure to meet latency, reliability and cost requirements.
- Lead investigations and resolve complex production issues across the ML lifecycle.
- Document repeatable workflows, review designs and code, and mentor colleagues in MLOps best practices.
- Create and maintain dashboards to track model performance, reliability and infrastructure cost.
Benefits
Competitive compensationAmple career and professional growth opportunitiesHealth, dental, and vision insurancePre-tax savings plans and transit/parking programs401K with competitive employer matchVolunteer and philanthropic activities throughout the yearEducational and social eventsThe amazing opportunity to work for a high-flying performance marketing company!