The team you’ll part of

As a member of the Nokia’s CMM team, you will be a member of a virtual ML/AI team, that works on automation tools that supports the analysis of the daily testing results to boost the efficiency of testing teams. Cooperation with other technical experts from all around the world (we collaborate a lot with US, India and Finland) will be part of your everyday work to achieve the committed objectives, leading the evolution to safer 5G networks that our customers worldwide want.

Your skills and experience

This job is for you if you:

Are an undergraduate student in Computer Science, Telecommunications or equivalent degree Have experience with Python or any other scripting language
Have experience with machine learning techniques and algorithms Have knowledge of version control system (especially git) You like working as part of growing multinational teams Are self-motivated and able to work independently by setting priorities in a geographically distributed team

 

We will also appreciate if you have: 

Are an analytical thinker with problem-solving abilities with can-do attitude Have excellent written and oral communication (Greek, English) Have strong troubleshooting abilities Enjoy working in an inclusive environment, which appreciates diversity and embraces high ethical standards Want to contribute to high edge technology, you are innovative and eager to learn state-of-the-art technologies

 

Benefits: 

We offer company bus transportation to facilitate your daily commute to and from work. E-Learning Platforms: Access renowned e-learning platforms such as NokiaEDU, Harvard ManageMentor, and LinkedIn Learning for technical training and personal development. Benefit from flexible working hours and the option to work in a hybrid or remote mode, providing a better work-life balance. Engage in social clubs and cultural activities organized by the company to foster a sense of community and well-being. We provide ample opportunities for career growth and development, including training programs and mentorship initiatives.

 

Here is what an ordinary day at work would look like:

Help in analyzing and estimating new tasks while efficiently communicate progress or problems with your tasks Cooperate with technical experts to achieve the committed objectives Participate in technical meetings with other senior engineers to take decisions on the way forward Monitor existing ML pipeline and enhance if needed.