Staff Machine Learning Engineer At Faire Kitchener

Lead the way in machine learning with Faire as a Staff Machine Learning Platform Engineer. Shape a cutting‑edge ML platform to enhance model training and deployment workflows. At Faire, you will play a pivotal role in designing and operating a scalable machine learning infrastructure. With over eight years of relevant experience, your expertise will facilitate data scientists in moving from notebooks to production effectively. You’ll also ensure data governance and optimize costs, performance, and reliability across both training and inference workloads. Key Responsibilities

Design and manage scalable ML infrastructure and services Productionize ML workloads with Spark, Delta Lake, and Databricks Mentor data scientists on effective ML platform usage Implement Unity Catalog for data governance and security Build CI/CD pipelines using Terraform and Git workflows Requirements

8+ years in production ML or data platforms Advanced degree in Computer Science or related field Robust experience with Databricks, Spark, and MLflow Proficiency in Python, SQL, and distributed systems Solid understanding of MLOps practices Contribute your technical skills to advance Faire's mission in local retail innovation through machine learning. J-18808-Ljbffr

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