Build reliable machine learning systems as a Senior MLOps Engineer in Canada, using Databricks, AWS, Python, and automated pipelines. Shape production model operations. Fluent Media seeks a Senior MLOps Engineer for its data and machine learning team. You will co-own MLOps practices and establish standards for deployment, serving, scaling, and infrastructure efficiency. The work supports accurate ad selection through reliable production systems at an optimal cost. Key Responsibilities:

Operationalize machine learning models in Databricks and AWS Build, monitor, and optimize training and deployment pipelines Establish versioning, testing, release, and monitoring standards Scale serving infrastructure for latency, reliability,



and cost Investigate production issues across the machine learning lifecycle Requirements:

Solid Databricks and AWS-based machine learning workflow experience Proficiency with Python, SQL, PySpark, and related tools Experience with MLflow and Delta Live Tables Architecture ownership for real-time relevance models and endpoints Hands-on CI/CD, automated testing, and monitoring experience Apply senior MLOps expertise across Databricks, AWS, model serving, and production reliability for Fluent Media’s advertising systems.

📌 Senior MLOps Engineer Databricks AWS (Winnipeg)
🏢 Fluent
📍 Winnipeg