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Trainee for Radio Cloud Infrastructure Solutions

Published date more than one year ago
Posted: more than one year ago
Company Nokia
Company: Nokia
Location Espoo
Location: Espoo
Apply!

Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things. 
Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect.
Nokia is an equal opportunity employer that is commited to diversity and inclusion.
At Nokia, employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
Our R&D works at the heart of cloud technologies in Nokia. We are one of the key player in turning Bell Labs vision into real products.
We are looking for trainees and thesis workers to contribute to the area of radio cloud infrastructure development, using state of the art methodologies and hardware. As a Trainee you will be involved in the design, implementation and testing of these solutions according to your qualifications and interests. Alternatively, you may focus in AL/ML related projects, supporting our product development and operations.
 
Needed Qualifications
- B/M.Sc. student in the relevant field (e.g. computer science, statistical modeling, analytics, programming)
- Programming skills (e.g. Python, C/C++)
- Familiarity with Linux distributions/kernel
- Understanding of open source software development
- Understanding of machine learning concepts and algorithms (regression, classification, etc), both in theory and practice
- Fast prototyping skills, including comprehensive feature integration during all cycles of development
- Prior work experience with big data preferred
- Strong English language skills
 
If you find any of these areas familiar to you, please do not hesitate to apply!
TEC-19749 : Display Job fields