Syte

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About
Syte is a visual AI platform that helps connect shoppers with products they'll love and streamline merchandising. It offers solutions for visual discovery, AI tagging and merchandising, and hyper-personalization. Syte's technology enhances online product discoverability, improve CX and increasing revenue.
Platform
Features
• hyper-personalization
• merchandising
• image search
• inspiration gallery
• ai tagging
• visual discovery
• visual recommendation engines: shop similar, shop social, shop the look/room & 5 more
• product discovery platform
Job Opportunities
Mid-level Full Stack Developer
Syte is a visual AI platform connecting shoppers with products using visual search and AI-driven product tagging and merchandising.
Experience Requirements:
3+ years of professional experience in full-stack development
2+ years of working in Node.js
2+ years of working with modern JavaScript frameworks such as React/Redux
Responsibilities:
Work with the latest technologies such as NodeJS, TypeScript, NestJs, Kafka, React, MongoDB, and more.
Plan, design & develop new features consumed by millions of users every day.
Participate in system design and code reviews.
Tackle tough problems and find creative ways to solve them.
Be in charge of different microservices, maintain and improve them Write beautiful code that is readable, testable, and extensible
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Python Developer
Syte is a visual AI platform connecting shoppers with products using visual search and AI-driven product tagging and merchandising.
Experience Requirements:
4+ years of programming languages such as Python (preferably)
Experience with big data technologies (e.g., Spark, Kafka), cloud platforms (e.g., AWS, Azure), and containerized environments (Docker, Kubernetes)
Solid understanding of data warehousing, ETL processes, and data pipeline design
Responsibilities:
Design, implement, and optimize scalable data pipelines and architectures for large-scale data processing
Ensure data quality, integrity, and availability by establishing best practices and monitoring systems
Troubleshoot and resolve data-related issues to ensure continuous improvement
Drive innovation by evaluating new data technologies and tools to improve data engineering practices
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Ratings & Reviews
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