AI / Machine Learning Engineer – (Quick eCommerce App)

• Design and implement computer vision models for clothing detection, categorization, and attribute extraction.
• Build outfit recommendation systems using user preferences, purchase history, weather, occasion, and trends.
• Develop personalization algorithms tailored to individual user style and behavior.
• Train, evaluate, and optimize ML models for low latency and high accuracy in mobile environments.
• Enable users to upload images or sync purchases to auto-create a digital presence.
• Implement smart tagging and wardrobe organization using AI.
• Recommend outfits from existing wardrobe items and available quick commerce inventory.
• Integrate AI models with mobile apps (iOS/Android) and backend services.

• Strong experience in Python and ML frameworks such as TensorFlow, PyTorch, or ONNX.
• Hands-on experience with Computer Vision (CNNs, object detection, image embeddings).
• Experience building recommendation systems (collaborative filtering, content-based, hybrid).
• Familiarity with mobile ML deployment (TensorFlow Lite, Core ML).
• Experience with REST APIs, cloud platforms (AWS/GCP/Azure), and MLOps pipelines.
• Knowledge of databases and data pipelines.
• Understanding of fashion, apparel attributes, and styling concepts (preferred).
• Experience with e-commerce or quick commerce platforms is a strong plus.

• Compensation: Not disclosed

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