Artificial Intelligence & Machine Learning Real-estate Project

Saige is seeking a passionate and driven Machine Learning Intern to join our team for an exciting project focused on revolutionizing real estate matchmaking through innovative machine learning algorithms. As an intern, you'll have the opportunity to work on cutting-edge technologies and contribute to reshaping how individuals find their ideal real estate opportunities.Key Responsibilities:Collaborate with our machine learning team to develop and refine algorithms for real estate matchmaking.Analyze and preprocess real estate data, ensuring its suitability for machine learning applications.Design and implement data models, leveraging various machine learning techniques, such as recommendation systems and natural language processing (NLP).Conduct experiments, fine-tune models, and evaluate their performance using relevant metrics.Work closely with cross-functional teams to integrate machine learning solutions into our platform.Qualifications:Pursuing a degree in Machine Learning, Computer Science, Data Science, or related field.Strong programming skills in languages like Python and familiarity with machine learning libraries (e.g., TensorFlow, scikit-learn).A genuine interest in real estate and a passion for leveraging machine learning to solve real-world challenges.Strong problem-solving skills and a collaborative mindset.Excellent communication skills and attention to detail.Project Details:This internship includes a project focused on developing and optimizing machine learning models to enhance the real estate matchmaking process. You will work closely with experienced professionals in the field and have the opportunity to make a meaningful impact on our platform's capabilities.

Start-up seeking NLP developers

Number of positions available: up to 10Our team is seeking up to five energetic NLP(natural language processing) student developers who are passionate and creative. We want these students to be entrepreneurial and willing to learn from ~30 years of combined experience. The students will be responsible for implementing functions in our dev environment and Google Collaboratory.The project:We are going to provide each of the five student with a list of links and the sections we want algorithmically parsed, using NLP techniques. Our dev team will work closely and train the student(s) on how to accomplish this. The students will then execute the algorithmic parsing of the provided links. We are going to start out slow, and ramp up, as the project progresses.This is an incredible opportunity to build your resume and portfolio.If you are in your 3rd/4th year of your CS,Math/Stats, engineering or related program and are looking for an incredible opportunity this is it.

Artificial Intelligence & Machine Learning Application

We would like to use few datasets, based on our current projects, and leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to apply the latest AI and machine learning techniques to our dataset to gather new insights that our organization can leverage.We would like a group of students to analyze datasets, apply AI, ML and data modelling techniques, and come up with some potential applications for how we can apply AI within our organization.This involves:Conduct background research on existing products, services, domains & dataset.Conduct research into the latest AI and ML techniques and how they could be applied to our data.Developing a ML / AI model which provides some sort of unique outcomes or insights into our dataDevise models and algorithms to develop scalable solutions that can work in real-time with large amounts of data.Develop automation tools to enable machine learningDesign, train and improve Machine Learning models

Data Analysis & Data Visualization

We’d like students to help analyze datasets to draw helpful insights.We would like to enhance our marketing campaigns through re-evaluating our customer segmentation. We would like to implement cutting edge technology to analyze our customer segmentation, relative to each of our products and services. From the analysis, we hope to gain insights that will enhance our strategy and help us refocus our product/service marketing.