
Senior MLOps Engineer – Real-Time Decisioning
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Canada.
• Collaborate with machine learning scientists to implement models within Databricks and AWS.
• Develop, monitor, and enhance automated pipelines for training, testing, and deployment processes.
• Set standards for model versioning, automated testing, release controls, and performance monitoring.
• Design and scale infrastructure for model serving to fulfill latency, reliability, and cost requirements.
• Lead investigations and resolve intricate production issues throughout the machine learning lifecycle.
• Document repeatable workflows, assess designs and code, and guide colleagues in MLOps best practices.
• Create and manage dashboards to monitor model performance, reliability, and infrastructure costs.
• Share ownership of MLOps practices at Fluent Media.
• Establish guidelines for model deployment, serving, scaling, and infrastructure efficiency.
• Ensure models enable accurate ad selection through dependable production systems at an optimal service cost.
• Work in conjunction with Data Engineering and Product teams.
• Must be based in Canada.
• Significant experience with Databricks (preferred) and AWS-based machine learning workflows.
• Proficient in Python, SQL, PySpark, and associated machine learning and data engineering tools.
• Familiarity with machine learning lifecycle management tools such as MLflow and Delta Live Tables.
• Established ownership of architecture and operations for real-time, low-latency relevance models and serving endpoints.
• Practical experience with CI/CD, automated testing, and monitoring systems.
• Capability to independently tackle production challenges and collaborate effectively with machine learning scientists, engineers, and product teams.
• Experience in reviewing pull requests, defining engineering standards, and mentoring peers.
• Fluent recruiters will exclusively reach out via LinkedIn or email using an @fluentco.com domain.
• Competitive salary.
• Numerous opportunities for career and professional advancement.
• Comprehensive health, dental, and vision insurance.
• Pre-tax savings plans and transit/parking programs.
• 401K plan with a competitive employer match.
• Volunteer and philanthropic opportunities throughout the year.
• Educational and social events.
• Fully stocked kitchen.
• Catered breakfast and lunch.
• Engaging events filled with activities.
• Recreational sports leagues.
• Networking opportunities with She Runs It.
• Quarterly outings to baseball games, upscale dinners, and pizza-making classes.
• Bonus compensation.
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