Shape the future of machine learning at Faire as a Lead Machine Learning Platform Engineer. Oversee the technical evolution of Faire’s ML platform in a hybrid work model.
In this senior role, you will define and drive the architecture for machine learning initiatives at Faire. Your contributions will enhance the data science team's efficiency through strategic use of AI tools. Collaborate across teams to support independent retailers globally while optimizing ML workflows at scale.
Key Responsibilities:
• Define long-term architecture of Faire's ML platform
• Establish standards for code quality and testing
• Lead adoption of Unity Catalog and data mesh strategies
• Architect scalable ML workflows with Spark and Delta Lake
• Mentor ML engineers and support their growth
Requirements:
• 10-12 years in ML or data platform development
• Graduate degree in relevant technical field
• Expertise in Databricks architecture and ML infrastructure
• Solid background in distributed systems and cloud
• Proven leadership and ability to influence across teams
Bring your expertise in machine learning systems to Faire and make a significant impact.
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📌 Lead Machine Learning Platform Engineer at Faire (Kitchener)
🏢 The Institute for Performance and Learning
📍 Kitchener