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 AWS

Build and optimize automated training, testing, and deployment pipelines

Establish versioning, release control, testing, and monitoring standards

Design scalable serving infrastructure for latency, reliability, and cost





Track model performance, reliability, and infrastructure costs through dashboards

Requirements

Robust Databricks and AWS-based machine learning workflow experience

Proficiency with Python, SQL, PySpark, and data engineering tools

Experience with MLflow and Delta Live Tables

Hands-on CI/CD, automated testing, and monitoring experience

Architecture and operations ownership for low-latency relevance models

Apply senior MLOps expertise across Databricks, AWS, model serving, automation, and production reliability at Fluent Media.

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