United States
1 day ago
AI Solution Engineering Intern

Position: AI Solution Engineering Intern
Number of Position(s): 4
Duration: 10 weeks
Date: June 2nd to Aug 8th, 2025
Location: Naperville, IL (Hybrid only)

The team you'll be part of

You will be a part of the Product Security team specializing in creating applications to ensure Nokia products are aligned with Customer security expectations and regulatory compliance. Our applications are Python/Django based and are created with the latest technologies including MS Azure, microservices, and AI/ML algorithms.

Your primary focus will be to enhance the applications by designing and implementing AI/ML-based Proof-of-Concept solutions for real-world problem statements provided by our architects (ex: Adapting LLMs for intelligent vulnerability management)

Though our team is spread across the US and India, your primary contacts will be the Solution Architects based in Naperville, IL.

 

Education Recommendations


Currently a candidate for a bachelor’s degree or diploma in Computer Science, Computer Systems Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related field within an accredited school in the US.

You have:

Working knowledge of Machine Learning and AI algorithms Experience solving real-world problem statements using Machine Learning strategy Working knowledge of advanced Python, Django, and Scripting languages (Perl, Shell) Familiar with Data search, parsing, and interpretation methodologies 

 

It would be nice if you also had:

Experience in bringing up and training of LLM models Experience in creating microservices and cloud interfaces Security knowhow (especially Vulnerability Management, SBOM, etc) is a huge plus 

As part of our team, you will:

Learn about our applications focused on Product Security Design AI/ML-based solutions to real-world problem statements Create Proof-of-Concept solutions from scratch and deploy them as independent microservices Work with the team to define new ideas to help our end users and optimize application functionality 
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