Senior MLOps Engineer – AdTech

This is a fully remote position, open to applicants in Canada.

📋 Description

• Collaborate with ML scientists to implement models within Databricks and AWS environments.

• Develop, monitor, and enhance automated pipelines for the processes of training, testing, and deployment.

• Set forth standards for model version control, automated testing, release management, and performance tracking.

• Design and scale the infrastructure for model serving to satisfy latency, reliability, and cost criteria.

• Take the lead in investigating and resolving intricate production challenges throughout the ML lifecycle.

• Document repeatable processes, review designs and code, and mentor team members on MLOps best practices.

• Create and sustain dashboards to monitor model performance, reliability, and infrastructure expenses.

• Co-manage MLOps practices at Fluent Media.

• Develop standards for model deployment, serving, scaling, and infrastructure efficiency.

• Collaborate with ML scientists, Data Engineering, and Product teams to facilitate accurate ad selection through dependable production systems at an optimal serving cost.

⛳️ Requirements

• Must be based in Canada.

• Extensive experience with Databricks and AWS-based ML workflows.

• Proficient in Python, SQL, PySpark, and other related ML and data engineering tools.

• Familiarity with ML lifecycle management tools such as MLflow and Delta Live Tables.

• Demonstrated ownership of architecture and operations for real-time, low-latency relevance models and their serving endpoints.

• Practical experience with CI/CD, automated testing, and monitoring systems.

• Capability to independently tackle production challenges while collaborating with ML scientists, engineers, and Product teams.

• Experience in reviewing pull requests, establishing engineering standards, and mentoring peers.

• Understanding of data governance, security, and compliance within cloud environments.

• Knowledge of model observability and explainability frameworks.

• Experience with stream processing or near-real-time data pipelines.

• Familiarity with digital marketing or mar-tech metrics.

🏝️ Benefits

• Competitive compensation package.

• Numerous opportunities for career and professional advancement.

• Comprehensive health, dental, and vision insurance coverage.

• Pre-tax savings plans and transit/parking programs available.

• 401K plan with a competitive employer matching contribution.

• Volunteer and philanthropic initiatives throughout the year.

• Opportunities for educational and social events.

• Fully stocked kitchen available for employees.

• Catered breakfast and lunch services.

• Engaging events filled with activities.

• Participation in recreational sports leagues.

• Networking opportunities with She Runs It.

• Quarterly outings to baseball games, upscale dinners, and pizza-making classes.