Databricks and AWS experts can shape MLOps at Fluent Media from Canada, focusing on reliable deployment, serving, scaling, and infrastructure efficiency.This senior engineer co-owns MLOps practices across Fluent Media’s data and machine learning team. You will operationalize models with ML scientists, Data Engineering, and Product while supporting accurate ad selection through dependable production systems. Python, SQL, PySpark, MLflow, and Delta Live Tables feature prominently.Key Responsibilities:
Operationalize machine learning models in Databricks and AWSBuild and optimize automated training, testing, and deployment pipelinesEstablish versioning, release control, testing, and monitoring standardsDesign scalable serving infrastructure for latency, reliability,



and costTrack model performance, reliability, and infrastructure costs through dashboardsRequirements:
Robust Databricks and AWS-based machine learning workflow experienceProficiency with Python, SQL, PySpark, and data engineering toolsExperience with MLflow and Delta Live TablesHands-on CI/CD, automated testing, and monitoring experienceArchitecture and operations ownership for low-latency relevance modelsApply senior MLOps expertise across Databricks, AWS, model serving, automation, and production reliability at Fluent Media.
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📌 Senior Mlops Engineer Databricks Aws (Winnipeg)
🏢 Fluent
📍 Winnipeg