Nokia is looking to improve development and prototyping in Virtualization/Cloud Computing, including technologies like Container Technology/Kubernetes platforms and Artificial Intelligence and Machine Learning pipelines, as part of its Cloud Mobility Manager (CMM) within the CNS Division.
Requirements
- 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
- Networking IP Knowledge (IPv6/IPv4)
- Familiarity with Linux, Git, and AI tools: MLFlow, AirFlow, and Scikit Learn
- Experience in data classification models, time series, and large language models
Responsibilities
- Work on technologies to improve development & prototyping in Virtualization/Cloud Computing including technologies like Container Technology/Kubernetes platforms
- Contribute to a project in 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
- Work on Artificial Intelligence and Machine Learning pipelines
- Contribute to the implementation of models for data pipeline (training, serving, testing)
- Utilize Exploratory Data Analysis (EDA) process - end to end, including projects utilizing the EDA
Other
- Currently a candidate pursuing a bachelors or masters degree in Data Science, Computer Science, Computer Engineering, or a related field with an accredited school in the US
- 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
