We are looking to build an agnostic real-time recommendation engine based on actual user engagement that utilizes both user data and item data.
We plan to start in the field of Job Search / Job Recommendations and expand on from there.
We have access to data from millions of users per month to train the model.
We are very keen on exploring collaborative filtering but we are open to other techniques as well
We are looking for a full end to end solution including the develops, we need this to perform at scale with a rest API (it should support over 100M API calls per month), this can take place on our servers but you will need to set it up and maintain it.
You will work directly with our Supper Talented CTO, and will receive the direct support of our team.
Your work will help us improve the lives of millions of users all around the world.
We look forward to working with you
Minimal Requirement - you have built and deployed large-scale real-time recommendation engines
Ideal - experience in recommendation engines for Job Search / Job Boards
About the recuiterMember since Sep 2, 2017 Owen P.
from Texas, United States