The team you'll be part of

The candidate will be part of a cross-departmental team spanning Nokia Bell Labs and Digital Office, working on cutting-edge technologies that underpin information and communications networks and all digital devices and systems. This collaborative environment brings together research excellence and practical digital solutions to drive innovation in the telecommunications industry.

 

 

ideally you should be working towards a master's degree (or recent graduate, or PhD student) in data science, machine learning, computer science, artificial intelligence, or a similar fieldstrong data science skills and a good understanding of machine learning, particularly deep neural networks along with coding skills in Python and deep learning frameworks (for example PyTorch, but knowledge in other frameworks are also welcome)experience with data streaming technologies, real-time analytics, and online learning algorithms would be a plus 

Additional skills:

SQLCloud, AzureDatabricks

 

What you will learn and contribute to

We are seeking strong candidates with data science and development skills to work with the team of researchers and data scientists on AI/ML applications in real-time data streaming scenarios.

In this position, you will conduct an in-depth analysis of research literature on machine learning methodologies for streaming data applications. You will also contribute to the development and implementation of novel AI/ML techniques for real-time data processing and perform systematic evaluation of these techniques using metrics specifically designed for streaming data scenarios and online learning systems.

The internship requires a 6-month duration. The position is based in Budapest, Hungary, meaning that you will get all necessary tools (laptop and development environments to carry out your tasks) and will collaborate with team members located across different countries.