Work on technologies to improve development & prototyping in Virtualization/Cloud Computing including technologies like:
Container Technology/Kubernetes platforms
Artificial Intelligence and Machine Learning pipelines
Contribute to a project in ***__ONE__*** of the following areas:
Data analytics/Machine Learning, including Exploratory Data Analysis
Coding in C++/C and Python which will be used in the implementation of models for data pipeline (training, serving, testing)
LSTM models, Embedding Models, Large Language Models (LLM) - encoders/decoders

Requirements

Pursuing a Data Science degree or degree in a similar field with some experience in data classification models, time series, and large language models.
Python proficiency, C++/C language knowledge
Experience with the Exploratory Data Analysis (EDA) process - end to end, including projects utilizing the EDA
Jupyter Notebooks and knowledge of common AI prototyping tools/libraries.
**It would be nice if you also had:**
Networking IP Knowledge (IPv6/IPv4), familiarity with Linux, Git, and AI tools: MLFlow, AirFlow, and Scikit Learn.

Benefits

Flexible and hybrid working schemes to balance study, work, and life
Professional development events and networking opportunities
Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
Employee Growth Solutions, mentorship programs, and coaching support for your career development
A learning environment that fosters both personal growth and professional development – for your role and beyond

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

C++PythonData analyticsMachine LearningExploratory Data AnalysisLSTM modelsEmbedding ModelsLarge Language ModelsData classification modelsTime series