AI Innovator for Fashion Discovery
7 days ago
Townmanor Technologies P-Ltd is a pioneering Prop-Tech startup that's revolutionizing the home buying process and fashion discovery with cutting-edge AI applications.
We're dedicated to creating an innovative platform that streamlines every phase of purchasing a home, making it simpler and more accessible for everyone. Recognized by StartupIndia and DPIIT under the auspices of the Government of India, we're at the forefront of transforming the home buying experience.
About Our Fashion Discovery ProjectWe're building an intelligent fashion discovery experience powered by AI, combining machine learning, computer vision, and advanced recommendation systems to help users uncover unique style inspirations and find what they're looking for effortlessly.
Job SummaryThis on-site internship role for an AI Engineer Intern is located in Noida, where you'll work on developing and implementing AI models, collaborating with the software development team to integrate AI solutions into our platform, conducting research, and assisting in enhancing our AI capabilities.
Key Responsibilities- Develop AI-powered fashion styling recommendations based on thrifted finds, implementing computer vision models to recognize outfits from user-uploaded images, and designing recommendation systems for style matching with available thrift items.
- Build AI-driven semantic search and image-based search for thrifted items, develop NLP models to process fashion-related queries, and match user preferences, optimizing thrift store inventory discovery using machine learning models.
- Design AI algorithms to analyze user preferences and browsing behavior, develop recommendation engines (content-based and collaborative filtering), and optimize user engagement by implementing reinforcement learning strategies.
- Deploy AI models using AWS/GCP/Azure with scalable architecture, work with the engineering team to integrate AI solutions into the platform, and optimize AI inference for real-time suggestions and minimal latency.
- Train AI models using large-scale fashion datasets, improve data pipelines for structured/unstructured fashion data processing, and fine-tune models based on user feedback and behavioral analytics.
To succeed in this role, you'll need:
- Proficiency in machine learning and deep learning, including designing, training, and deploying ML models using frameworks like TensorFlow and PyTorch.
- Experience with computer vision, including image recognition, feature extraction, and understanding of convolutional neural networks (CNNs).
- Able to develop NLP models for semantic search, text analysis, and understanding fashion-related queries.
- Proficiency in Python and familiarity with ML libraries like Scikit-Learn, OpenCV, and Transformers.
- Experience deploying AI models in cloud environments like AWS, GCP, or Azure.
- Ability to work with large-scale structured and unstructured datasets, including data cleaning, processing, and pipeline development.
We're offering a three-month internship opportunity for individuals pursuing or having completed a Bachelor's degree in Computer Science with an AI focus or a related field. During this time, you'll gain hands-on experience in developing and implementing AI models, working with a talented team, and contributing to a revolutionary project.
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Noida, Uttar Pradesh, India Townmanor Technologies P-Ltd Full time**Company Description** Townmanor Technologies P-Ltd is an innovative Prop-Tech startup dedicated to transforming the home buying process with advanced AI and ML applications. Our comprehensive platform is designed to streamline every phase of purchasing a home, making it simpler and more accessible for everyone. We are building an intelligent fashion...
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