Family Description

Corporate Services (AD) consists of executive, professional, and support services in the areas of general administration, facility and real estate management, health, security, and secretarial services as well as external affairs and information services. Comprises other enterprise-wide functions such as trainees.

Subfamily Description

As a Machine Learning Engineer, you will join the Nokia Mobile Network Architecture and Specification team, leveraging the latest advancements in machine learning to reduce energy consumption at the RAN level. You will contribute to various internal Nokia and funded projects, proposing innovative algorithms for the RAN. Additionally, you will communicate your findings internally and externally through presentations and discussions with team members and project stakeholders. We seek an engineer with expertise in machine learning algorithms and a strong understanding of wireless communication, particularly 4G and 5G mobile communication.

Master's degree in computer science, telecommunications, or a related field.Experience in C++ and Python programming, focusing on using machine learning libraries in Python.Experience with data analytics in Python (pandas, matplotlib,...)Strong knowledge of wireless communication, particularly 5G.Familiarity with MLOps or other pipelining frameworks.Proficiency in supervised learning and deep learning algorithms.

Workplace: Germany, ULM

Work is on site/hybrid
 

What you will learn and contribute to

 

Develop machine learning algorithms in Python or C++.Study recent advancements in standardization groups like 3GPP and create algorithms focused on energy efficiency and sustainability.Process key performance indicators and convert measurement data and configuration files into standard formats for machine learning training.Publish results through presentations or publications in group studies or conferences.