Software Dev AI/ML Coop
Nokia
Naperville, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 77KJob location
Naperville, United States of America
Tech stack
Artificial Intelligence
Airflow
Data analysis
C++
Cloud Computing
Computer Engineering
Linux
IPv4
IPv6
Python
Machine Learning
Software Prototyping
Virtualization Technology
Jupyter Notebook
Data Classification
Large Language Models
GIT
Scikit Learn
Kubernetes
Information Technology
Data Analytics
Machine Learning Operations
Data Pipelines
Recurrent Neural Networks
Job description
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, The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Requirements
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., * 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.