Middle East fashion e-commerce platform with ML-driven product discovery
Namshi operates the region's largest online fashion marketplace (women, men, kids) with a heavy ML and data-science footprint: BigQuery ML, TensorFlow, PyTorch, scikit-learn, and Hugging Face all active in production. Active projects around image classification, LLM-powered recommendations, and search relevance signal a platform shifting toward AI-driven product discovery and personalization — directly addressing internal pain points around discoverability and search null rates. Sales and design hiring is accelerating across India, UAE, Egypt, and Lebanon.
Namshi is a multi-brand fashion and beauty e-commerce platform operating across the Middle East since 2011, now part of the noon Group. The platform serves women, men, and kids with curated selections from leading brands. Operations span sourcing, inventory management, seasonal collections, and product marketing; the company employs 501–1,000 people headquartered in Dubai. Current focus areas include assortment optimization, delivery speed, and improving product search and recommendation systems to reduce friction in the shopping experience.
BigQuery ML, TensorFlow, PyTorch, scikit-learn, and Hugging Face. Recent projects include image classification for product categorization and LLM integration for recommendations.
Sorting algorithm optimization, image classification for product discovery, LLM-powered recommendations, search relevance improvements, and campaign experimentation.
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