Elevate the machine learning landscape as a Senior Staff Engineer. Drive architectural transformation and set platform standards to enhance data science capabilities for small retailers in a hybrid setting.
This role is pivotal in establishing the technical vision for a cutting-edge ML platform. You will leverage your extensive expertise to influence organization-wide strategies that enhance data science efficiencies. By integrating modern AI tools, you will empower small businesses to compete effectively in a fast-evolving marketplace.
Key Responsibilities:
• Define the architecture for machine learning workflows
• Establish standards for code quality and MLOps
• Architect scalable systems using Spark and MLFlow
• Evaluate and implement emerging Databricks features
• Mentor engineers to elevate overall ML competencies
Requirements:
• 10-12 years of experience in ML or data platforms
• Advanced degree in Computer Science or related field
• Deep expertise in Databricks lakehouse architecture
• Strong background in distributed systems and cloud architecture
• Proven technical leadership across teams
Shape the future of local retail with state-of-the-art ML systems and innovations that empower small business growth and competitiveness.
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Apply on Kit Job: kitjob.ca/job/2fsmty
📌 Lead Machine Learning Platform Engineer with a Focus on Innovation (Toronto)
🏢 Faire
📍 Toronto
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