Zighra is rapidly building out our sensor analytics infrastructure. We are extending our platform to handle billions of new records each day, a petabyte scale repository for analytics, and mobile applications for adaptive behavioral authentication and fraud detection. This platform enables Zighra’s customers to analyze and attribute user behaviours across mobile banking and commerce transactions. We’ve already built out a sensor analytics platform that powers users across 70 countries and 700+ smart device types, to give us access to these large data sets and this is a great opportunity to join as a key member of the team and be at the centre of impactful action.
Job Duties and Responsibilities:
Your main objectives will be the design and implementation of a deep-learning based framework that uses mobile sensor data to perform user-authentication. Apart from the raw sensor data itself, certain high-level aspects related to the user like the walking patterns, phone handling, daily life events, etc. would help identify the real user of the device. Depending on the duration of the internship, you might additionally have the opportunity to gain a first-hand experience of deploying the framework you develop, on a device (mobile phone) and evaluate real-time performance. Zighra transforms mobile sensor data into human-relatable intelligence, and hence this project sits at the heart of its technology.
Desired skills and expertise:
Bonus Knowledge and Skills:
Location: 343 Preston St, Ottawa, ON, K1S1N4
Job Type: Internship