Optimizing Data Access with Machine Learning ( Internship / Master Thesis)
In this role
During your internship, you will develop a transparent layer on top of a database access framework such as Hibernate, that must learn how to correlate environment parameters (such as web request parameters, the current time and date, or the user’s role) with data access patterns, and then modify application requests to match expected requirements. It must be able to monitor performance in real-time and adjust query parameters accordingly, to minimise execution times.
The purpose is then to “cleanse” manually-written optimisations out of a typical business application and let your optimisation layer re-discover those optimisations (or better ones!) independently.
We suggest the code be written in Java or in another JVM language such as Kotlin.
What we offer
INTERNSHIP in Lausanne. Join our team as intern and you will find a young, dynamic and culturally diverse working environment.
About your profile
- Software development
- Interest in machine learning
With 50+ year of history and over 1300 specialists, we offer a unique spectrum of experience, skills and technical innovations.
You want to leverage your educational background, apply your infinite curiosity and your out-of-the-box thinking.
Your initiative is a chance ! We're constantly looking for talented individuals. Check our latest job opportunities !