Senior Machine Learning Platform Engineer

Build dependable machine learning platforms for Fluent Media in Canada, using Python and PySpark to improve model operations and production reliability.As a Senior MLOps Engineer, you will establish engineering standards across the model lifecycle. The work spans automated pipelines, model versioning, release controls, performance monitoring, and low-latency serving endpoints. Collaboration includes ML scientists, engineers, and Product, with responsibility for resolving complex production challenges independently.Key Responsibilities:
Build pipelines for model training, testing, and deploymentDefine automated testing and model release controlsInvestigate complex issues across the machine learning lifecycleReview designs and code while mentoring colleaguesDocument repeatable MLOps workflows and engineering practicesRequirements:
Proficiency with Python, SQL, PySpark, and related toolsExperience managing machine learning lifecycles with MLflowProven ownership of real-time model serving architectureAbility to resolve production challenges independentlyExperience reviewing pull requests and mentoring colleaguesBring hands-on platform engineering, lifecycle management, technical leadership, and production troubleshooting skills to Fluent Media’s MLOps team.
#J-18808-Ljbffr