Machine Learning Software Engineer Intern

Company Introduction

Our vision is to help wine lovers identify their likes and dislikes, as wine tasting, consumption, and purchasing is very subjective and varied. With our proprietary analytics leveraging AI, we define wine quantitatively with Wine Secret AI.

Our AI will be able to facilitate experience sharing, collections, and an online-offline medium for wine lovers to gather and share. To assist wine lovers to find their best wine pairing in every occasion, furthermore, enhance the efficiency of wine selling and recommendations within retails, hotels, restaurants and even more. We envision in the long run to empower our subscribers access to quality fine wines and collect all their drinking preferences for big data analysis, for winery’s production to make their products welcomed by wine lovers.

Job Function

Technology Research and Development

Job Description

• Scraping High quality data across different Wine Bottles
• Developing a strong recommendation systems for well labelled products
• Deploying solutions / services on cloud (AWS, Azure etc.)
• ⁠Research and Experimentation across a wide range of Models (on Huggingface etc.)
• Pre-training data sets with annotation, labelling or transformer tools
• Integrating recommendation systems to front end CMS tools like Webflow / Wordpress / Shopify
• Exploring low-code tools and quickly learning to use drag and drop integrations (like integrately, make, twilio, or simple marketing automation tools)
• Data cleansing and transformation of raw data

Work Mode

Mix-mode (remain consistent within a calendar month)

Work Location

Causeway Bay

Preferred Academic Disciplines

Engineering, Sciences, Technology

Preferred Skills and Knowledge

Preferably a Physics, Mathematics, or Computer Science Student, ML courses and specialization is a plus. (All other courses also entertained as long as they possess most skillsets required)

• Strong Proficiency in writing scripts for automation using either Python, or C++
• ⁠Proficiency in RESTful APIs
• Data Visualization tools like Tableau, PowerBI
• Basic Web development using JS
• Basic Understanding, implementation and adaptation of existing ML models such as YOLO, Classification, Logistic Regression, Deep Learning, Matrix Factorization or Ranking Algorithms.
• Web scrapping with Python or other applicable languages