Summer Intern supporting the Growth Solutions Architecture Team in developing AI/LLM applications at ITC Federal. Gaining hands-on experience with emerging technologies in the federal sector.
Responsibilities
Assist the Growth Solutions Architecture team in the development and testing of a proprietary Large Language Model (LLM) application.
Support data preparation, analysis, and validation to improve model performance and accuracy.
Assist in developing code, scripts, or tools that support AI/ML experimentation and application development.
Participate in testing, evaluation, and documentation of model outputs and system capabilities.
Conduct technical research on emerging AI/ML tools, frameworks, and best practices.
Collaborate with engineers and solution architects to prototype new capabilities and features.
Assist in documenting processes, workflows, and technical findings related to the application development.
Support the team in identifying opportunities to optimize data pipelines, model performance, and system integration.
Gain exposure to the Agile development lifecycle, including sprint planning, stand-ups, and team collaboration.
Requirements
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Systems, or a related technical field.
Minimum GPA of 3.0 preferred.
Rising Junior, Senior, or current graduate student.
Located in or able to work within the DMV (DC, Maryland, Virginia) area during the internship period.
Foundational experience with Python; familiarity with Java or JavaScript, desired.
Familiarity with AI/ML frameworks or libraries (e.g., PyTorch, TensorFlow, LangChain, Hugging Face, or OpenAI API), desired.
Benefits
Outstanding compensation and benefits plan
Hands-on experience working on cutting-edge AI/LLM technology
Mentorship from experienced engineers, architects, and technical leaders
Opportunities to contribute to real-world projects that support government missions
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