
201 - 500 employees
🛍️ eCommerce
🤖 Artificial Intelligence
eCommerce • Artificial Intelligence • Marketing
Trafilea Tech E-commerce Group is a next-generation consumer-tech platform and e-commerce group of brands. The company is powered by proprietary technology, world-class marketing, and operational excellence. Trafilea's ecosystem integrates data, technology, and systems to enhance all its brands, focusing on creating a frictionless, high-performing shopping experience. The group manages a real-time ad management technology and an AI-powered advertisement platform, enabling high-efficiency budget allocations and optimization across their operations. Trafilea has a significant impact with over 10 million customers and 30 million online users, making it a data-driven and tech-enabled powerhouse in the e-commerce industry.
🕒 June 23
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201 - 500 employees
🛍️ eCommerce
🤖 Artificial Intelligence
eCommerce • Artificial Intelligence • Marketing
Trafilea Tech E-commerce Group is a next-generation consumer-tech platform and e-commerce group of brands. The company is powered by proprietary technology, world-class marketing, and operational excellence. Trafilea's ecosystem integrates data, technology, and systems to enhance all its brands, focusing on creating a frictionless, high-performing shopping experience. The group manages a real-time ad management technology and an AI-powered advertisement platform, enabling high-efficiency budget allocations and optimization across their operations. Trafilea has a significant impact with over 10 million customers and 30 million online users, making it a data-driven and tech-enabled powerhouse in the e-commerce industry.
• Architect and scale the data infrastructure behind our Machine Learning platform • Design the systems that turn billions of data points into production-ready models • Architect and scale advanced ETL pipelines using modern Big Data technologies • Design resilient data frameworks across the full lifecycle: extraction → transformation → ML modeling • Lead the development of Airflow-driven data workflows • Optimize large-scale datasets and complex SQL queries • Operationalize machine learning models in batch and real-time environments • Improve cost-efficiency and scalability across our AWS data ecosystem • Elevate data quality standards with strong governance and monitoring systems • Build internal data tools that empower Marketing Science & Analytics teams
• 2–3+ years as a Data Engineer or ML Engineer in production environments • You think in systems, not scripts • You care about scalability, cost-efficiency, and precision • You reject mediocrity — performance and reliability matter • You document your work and raise the bar for quality
• 100% Remote • USD competitive salary • Paid time off
Apply Now🕒 June 18
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