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 AWSBuild, monitor, and optimize training and deployment pipelinesEstablish versioning, testing, release, and monitoring standardsScale serving infrastructure for latency, reliability,



and costInvestigate production issues across the machine learning lifecycleRequirements:
Robust Databricks and AWS-based machine learning workflow experienceProficiency with Python, SQL, PySpark, and related toolsExperience with MLflow and Delta Live TablesArchitecture ownership for real-time relevance models and endpointsHands-on CI/CD, automated testing, and monitoring experienceApply senior MLOps expertise across Databricks, AWS, model serving, and production reliability for Fluent Media’s advertising systems.
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📌 Senior Mlops Engineer Databricks Aws (Winnipeg)
🏢 Fluent
📍 Winnipeg