Lead Machine Learning Architect
Job Description & How to Apply Below
Shape the future of machine learning with Faire as a Senior Staff Machine Learning Platform Engineer. Drive innovation, establish standards, and architect advanced ML solutions in a hybrid work environment.
In this senior role at Faire, you will be responsible for the technical vision and development of our ML platform. Leverage your extensive experience (10-12 years required) to set standards for code quality, testing, and MLOps. Collaborate with cross-functional teams to enhance the scalability and performance of machine learning workflows.
Key Responsibilities:
• Define long-term architecture for the ML platform
• Establish standards for testing, MLOps, and model governance
• Lead advanced adoption of data and ML mesh patterns
• Architect scalable workflows using Spark and Delta Lake
• Serve as technical advisor for data science teams
Requirements:
• 10-12 years of ML platform development experience
• Degree in Computer Science, Engineering, or Statistics
• Deep expertise in Databricks lakehouse architecture
• Proven design ability for production workloads
• Strong background in distributed systems and cloud architecture
Drive ML engagement and impact at Faire and help local businesses thrive.
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