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Trainee to Machine Learning area

Corporate Services
MN Mobile Networks
1800000AM1 Requisition #
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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.

We are looking for a trainee to work in area of Machine Learning using state of the arts methodologies and hardware.

The Main Responsibilities Will Be:

- Concepting and testing machine learning algorithms.

- Identifying and studying suitable ML solutions and algorithms matching use case and data.

- Developing and tuning algorithms for the selected use cases.

- Integrating/implementing supporting backend solutions for data processing.

Needed Qualifications

- M.Sc. student in the relevant field (e.g. computer science, statistical modelling, analytics, programming).

- Programming skills (e.g. Python). Familiarity with numpy, scipy, TensorFlow, caffe, keras, scikit, pandas.

- Understanding of machine learning concepts and algorithms, both 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 aforementioned areas familiar to you, please do not hesitate to apply! The position will be filled as soon as a suitable candidate is found!

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