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.