Start-up seeking NLP Developers
Project scope
Categories
Data visualization Data analysis Data modelling Software developmentSkills
energetic willingness to learn parsing teachingNumber of positions available: up to 6 teams
Our team is seeking one energetic developers who are passionate and creative. We want theses students to be entrepreneurial and willing to learn from ~30 years of combined experience. The students will be responsible for implementing functions, capturing data using NLP techniques we will be teaching. Masters/PHD students will be responsible for creating data sets and then fine-tunning LLMs as well as finding cosine similarities in embeddings.
Our dev team will work closely and train the student on how to accomplish this. The students will then execute on the project tasks.
This is an incredible opportunity to build your resume and portfolio.
If you are in your 3rd/4th year or Masters/PHD students with knowledge of business and graduated from CS, engineering or related program and are looking for an incredible opportunity this is it.
Does bringing organization to chaos excite you? If so, that is what you will be doing while in this internship. The data that we want parsed is not structured hence it is extremely messy, we want to put order to it. We will give you the training to organize this and we will let you solve these problems at scale.
Students will create a one page report that they would have to upload to the Riipen platform detailing their work and what they achieved during this project.
As always we will offer at least 15hrs of mentorship and supervision to our students. This will be detailed training and "How to" modules. Please note that this is a remote internship.
Supported causes
Decent work and economic growthAbout the company
Ubineer is a leading AI financial technology company focused on delivering productivity to financial decision makers. Our goal is to be the primary source for knowledge management, collaboration and insights in the investment industry. Our mission is to help financial decision makers optimize the quality and speed of their investment lifecycle.