Platform Engineer - AI Systems - Remote

Overview

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

In Short

• Design and build highly scalable machine learning systems.
• Develop “Machine-Learning-as-a-service” solutions.
• Create model training and finetuning frameworks.
• Implement feature stores for batch and real-time computation.
• Build deep learning infrastructure for language and image models.
• Manage model prediction services for deployment and monitoring.
• Collaborate with internal teams to address ML/AI development challenges.
• Provide mentorship to interns on the team.

Requirements

• 1+ years experience in building production machine learning systems.
• Degree in Computer Science, Machine Learning, or a related field.
• Strong coding skills in Python/Java or equivalent.
• Experience with backend system architectures like microservices.
• Understanding of engineering best practices and ML software development life-cycle.

Benefits

• Equity and benefits eligibility.
• Flexible remote work options.
• Opportunity to work in a dynamic and innovative environment.
• Support for professional development and mentorship.