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Internship - Artificial Intelligence - Software Modernization at RJ Lee Group, Inc – Pittsburgh, Pennsylvania

RJ Lee Group, Inc
Pittsburgh, Pennsylvania, 15239, United States
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Recently UpdatedJob Function:Information Technology

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About This Position

Position Summary

The AI – Software Modernization Internship is an exciting opportunity for students passionate about emerging technology to help transform RJ Lee Group's internal business ecosystem. Interns will work on projects that integrate AI capabilities into existing workflows, helping to automate and streamline core business and scientific processes. 

Key Responsibilities

  • Assist in identifying and scoping opportunities for AI/ML integration within existing business and laboratory software systems 

  • Support development and testing of AI-assisted tools, automation scripts, or workflow enhancements 

  • Research and evaluate modern AI frameworks, APIs, and platforms for practical applicability 

  • Collaborate with cross-functional teams including scientists, IT, and operations to implement process improvements 

  • Document findings, workflows, and project outcomes for internal use 

Qualifications

  • Currently pursuing a degree in Computer Science, Data Science, AI/ML, or a related field (at least 2 years completed) 

  • Foundational understanding of machine learning concepts and/or experience with AI tools and frameworks (e.g., Python, TensorFlow, OpenAI APIs, LangChain, etc.) 

  • Intellectual curiosity and enthusiasm for applying AI to real-world business problems 

  • Strong communication skills to bridge technical and non-technical stakeholders 

  • Must be able to work onsite or in a hybrid capacity during the internship period 

Core Competencies

  • Attention to Detail

  • Confidentiality & Integrity

  • Organization & Time Management

  • Communication & Professionalism

  • Adaptability & Change Management

  • Data Accuracy & Compliance

Internship Duration

  • Start Date: May or June 

  • End Date: End of summer (flexible based on academic schedules) 

  • Full-time or part-time schedule options depending on department needs 

Job Location

Pittsburgh, Pennsylvania, 15239, United States
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Job Location

This job is located in the Pittsburgh, Pennsylvania, 15239, United States region.

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