Retail Specialist

About the Role: The ideal candidate will bring deep expertise in the retail sector — including operations, merchandising, supply chain, store management, and customer experience — and will help train, evaluate, and fine-tune AI models to ensure accuracy, domain relevance, and contextual understanding.

Responsibilities:

• Serve as the retail domain expert during the training and fine-tuning of AI models, ensuring contextual accuracy and industry relevance.
• Develop knowledge bases, taxonomies, and ontologies that reflect retail industry standards and best practices.
• Annotate, label, and validate datasets with domain-specific knowledge (product categories, inventory terms, pricing, promotions, etc.).
• Collaborate with AI/ML engineers to design training data strategies, evaluation metrics, and prompt engineering techniques tailored to retail applications.
• Provide expert feedback on model outputs, identifying errors, ambiguities, and opportunities to improve model reasoning and performance.
• Partners with product and analytics team to align AI capabilities with business objectives such as improving sales, forecasting demand, or enhancing customer engagement.
• Stay current with emerging trends in retail technology and AI, bringing innovative ideas for practical implementation.

Qualifications:

• Bachelor’s or Master’s degree in Business Retail Management, Supply Chain, Data Analytics, or related field.
• 3-5 years of experience in the retail sector (e.g., merchandising, operations, category management, supply chain, or e-commerce).
• Proven ability to translate business processes into structured data requirements.
• Strong analytical and communication skills, with the ability to articulate complex retail concepts for technical and non-technical teams.
• Familiarity with retail data systems such as ERP, POS, CRM, or inventory management software is a plus.
• 5–10 years of experience in the retail sector (e.g., merchandising, operations, category management, supply chain, or e-commerce).
• Proven ability to translate business processes into structured data requirements.
• Strong analytical and communication skills, with the ability to articulate complex retail concepts for technical and non-technical teams.
• Experience with AI/ML concepts (data annotation, prompt design, model evaluation) preferred—but deep retail expertise is essential.
• Familiarity with retail data systems such as ERP, POS, CRM, or inventory management software is a plus.