Advance your career as a Staff Engineer for Machine Learning Platform Development at Faire. This hybrid role focuses on enhancing ML tools and infrastructure, directly impacting local retailers globally.In this role, you will combine your substantial experience (8+ years) in ML platform engineering with your expertise in ensuring model efficiency and governance. As the critical bridge between data science and production, you will refine ML workflows across diverse teams while contributing to a platform that supports thousands of users. Your efforts will play a key role in shaping the retail industry's future.Key Responsibilities: • Design and enhance ML infrastructure for model training • Optimize performance and reliability of ML workloads • Coach data scientists in utilizing the ML platform • Implement governance measures using Unity Catalog • Establish and manage CI/CD pipelines effectivelyRequirements: • 8+ years in production ML or data platforms • Strong hands-on experience with Databricks, Spark, and MLflow • Proficient in Python, SQL, and cloud infrastructure • Knowledge of MLOps practices • Proven ability to support multiple teams in a shared environmentLeverage your expertise at Faire to enable innovation and growth for local businesses through technology in a collaborative environment. #J-18808-Ljbffr
Staff Engineer For Ml Platform Development At Faire
FAIRE
kitchener, kitchener
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