Intern--Generative AI

Thank you for your interest in joining the JDSAT team. hatch I.T. is facilitating the recruitment process, so please continue your application here for the AI Generative Internship.
Are you a junior or senior college student interested in gaining hands-on experience with modern programming languages and cloud-native technologies? We have an exciting internship opportunity!
Position: Intern - AI GenerativeLocation: Fairfax, VADuration: Summer 2025 
Who is JDSAT? We’re not a data solutions firm. We’re a boutique technology company that excels in developing solutions, identifying risks, and creating opportunities for our customers.‍We’re an advanced analytics services company that is currently engaged with both federal and private sector clients. We build our products the same way we built our company—with people in mind. All our employees are committed to maintaining and continuing to build a culture of inclusivity, positivity, and growth.
Internship Highlights: Hands-On AI Projects: Work on real-world applications of Generative AI.Learn from Experts: Get mentorship from industry professionals.Collaborative Environment: Be part of an innovative and inclusive team.Paid Internship: Earn $25/hour while gaining valuable experience.
About the CompanyJDSAT is a solutions company before anything else, and they believe that data, mathematics, and software are the most effective paths to finding a solution tailored to the organization’s needs.
Candidates must be able to obtain a secret-level clearance and be able to be on-site 2-3 times per week

What You’ll Do:

• Assist in data preparation, analysis, and visualization to support applied AI integration.
• Experiment with pre-trained generative AI models (e.g., GPT, Llama, Granite, etc.).
• Work with team members to evaluate AI models against business cases and optimize their outputs.
• Explore techniques like prompt engineering and fine-tuning models.
• Present findings and insights to contribute to ongoing AI projects.

What We’re Looking For:

• Currently pursuing a Bachelor's degree (Junior/Senior) in Computer Science, Data Science, Mathematics, Physics, or a related field.
• Familiarity with Python and libraries like NumPy, Pandas, and TensorFlow (or PyTorch).
• Basic understanding of machine learning concepts and neural networks.
• Experience with large language models.
• Interest in natural language processing, computer vision, or AI model evaluation.
• Strong analytical skills and a curiosity to learn and experiment with AI technologies.