Wizard
Artificial Intelligence • eCommerce • Retail
Wizard AI is a company that provides a tailored shopping experience powered by artificial intelligence. It offers a unique text-based service that curates product recommendations across the internet, utilizing AI models that understand user preferences to predict needs and make personalized suggestions. Wizard AI simplifies shopping by finding, ordering, and tracking products, as well as managing returns through SMS communication. This service is designed to save time and improve the convenience of online shopping by efficiently juggling product data, customer reviews, and other digital content to make informed recommendations for customers.
51 - 200 employees
🤖 Artificial Intelligence
🛍️ eCommerce
🛒 Retail
💰 $50M Series A on 2021-10
Staff Data Engineer, Spark
Job not on LinkedIn
September 18
Wizard
Artificial Intelligence • eCommerce • Retail
Wizard AI is a company that provides a tailored shopping experience powered by artificial intelligence. It offers a unique text-based service that curates product recommendations across the internet, utilizing AI models that understand user preferences to predict needs and make personalized suggestions. Wizard AI simplifies shopping by finding, ordering, and tracking products, as well as managing returns through SMS communication. This service is designed to save time and improve the convenience of online shopping by efficiently juggling product data, customer reviews, and other digital content to make informed recommendations for customers.
51 - 200 employees
🤖 Artificial Intelligence
🛍️ eCommerce
🛒 Retail
💰 $50M Series A on 2021-10
📋 Description
• Design and evolve scalable, distributed data infrastructure across cloud platforms • Build and maintain real time and batch data processing pipelines supporting analytics and AI/ML workloads • Develop and manage integrations with third party e-commerce platforms to expand our data ecosystem • Ensure data availability, reliability and quality through monitoring and automated auditing • Partner with engineering, AI and product teams on data solutions for business critical needs • Mentor and support data engineers, establishing best practices and code quality standards
🎯 Requirements
• 5+ years of software development and data engineering experience with demonstrated ownership of production grade data infrastructure • Bachelor's degree in Computer Science or a related field, or equivalent practical experience. • Deep expertise scaling Spark in production (Databricks, EMR, etc) • Strong understanding of distributed computing and modern data modeling for scalable systems • Proficient in Python with experience implementing software engineering best practices • Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases • Strong communicator with experience influencing cross functional stakeholders
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