Key Responsibilities

• Research and identify an existing dataset or create a custom dataset with a diverse range of apparel products, brands, and styles from various e-commerce platforms. Pre-process and clean the dataset to ensure data quality and consistency. 
• Develop a machine learning or deep learning model to accurately detect apparel brands in images and provide recommendations for similar products. Implement data augmentation techniques to improve model performance and ensure robustness against varying input data. 
• Evaluate and fine-tune the model to achieve high accuracy and efficiency in brand detection and product recommendations. 
• Develop an API or integration method to enable seamless implementation of the model into existing e-commerce platforms. 
• Provide clear documentation on the model's architecture, training process, and implementation details. Collaborate closely with our team to ensure the final solution meets our project objectives and requirements. 

Qualifications

• Proven experience in AI, machine learning, and deep learning, preferably in the fashion industry. 
• Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks. 
• Experience with computer vision techniques and image recognition models (e.g., CNN, ResNet, etc.). 
• Knowledge of data pre-processing, augmentation, and model evaluation techniques. 
• Ability to work independently and collaborate effectively with a team. 
• Excellent communication and problem-solving skills. 

To apply, please submit your application including a brief overview of your experience in AI and the fashion industry, a description of your proposed approach to this project, and relevant examples of your past work.