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