GDIT Summer Internship Program – Summer 2027 AI/ML Software Development and Engineering Internship
A 10-week paid, full-time (40 hrs/week) summer internship at GDIT in Bossier City, LA (hybrid), building AI/ML software such as agentic LLM solutions and proxy/managed services for LLM governance, using Python/SQL, ML libraries like PyTorch and TensorFlow, and API/microservice architecture.
- Compensation
- $20–$26 / hr
- Location
- Bossier City, Louisiana
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Currently enrolled in an associate's, bachelor's, or master's program in computer science, IT, engineering, or other STEM field at a US-based college or university
- Minimum of one semester remaining in studies after the internship concludes
- Basic understanding of core data science concepts (data cleaning, exploratory analysis, simple statistical methods, foundational ML principles)
- Basic understanding of Microsoft Office products (Word, PowerPoint, SharePoint, Excel, Teams)
- Knowledge of machine learning fundamentals
- Knowledge of Python, SQL, or other programming languages
- Knowledge of libraries like PyTorch, TensorFlow, or scikit-learn
- Experience working in a collaborative team environment
- Problem solving and interest in big data
- Ability to identify and solve complex problems related to rapidly changing technology
- Ability to effectively articulate technical challenges and solutions
Nice to have
- Interest or experience with big data platform tools
- Interest in data cleaning, wrangling, transformation, model selection, cross-validation, and deployment
- Interest in building and maintaining scalable APIs and microservices
- Interest in AI/ML model performance measurement, validation testing, and error or bias troubleshooting
- Interest in containerization, optimization, and workflow automation
- Interest in AI/ML security best practices (data provenance, isolation, monitoring, adversarial testing)
- Interest in responsible AI/ML governance (transparency, risk mitigation, fairness, compliance)
- Interest in FinOps practices
Full description
Telecommunting: Hybrid
Travel Requirement: Less than 10%
Clearance Level Must Be Able to Possess: None
Clearance Level Must Be Able to Obtain: None
Public Trust/Other Required: None
Sponsorship is not available for this role.
At GDIT, our people are our business. We pride ourselves on the work our innovators do to support and secure some of the most complex government, defense, and intelligence projects across the world. We wouldn’t be successful without our ability to attract new talent to join our team.
What sets a GDIT internship experience apart from other organizations in the industry?
GDIT’s Summer Internship Program is designed with you in mind! Our internship provides you the opportunity to be a part of a collaborative team that is helping to solve our clients’ most challenging matters. Throughout GDIT’s 10-week Summer Internship Program, you will have the opportunity to do the following:
- Work side-by-side with GDIT professionals delivering work for clients.
- Collaborate with a team of peers to research and propose solutions to a current business challenge.
- Participate in a mentoring circle led by an early career champion.
- Interact with GDIT leaders.
- Participate in professional development.
How You’ll Make this Internship Opportunity Your Own
Our AI/ML Software Development and Engineering summer interns will work on a range of projects that ideally align with their interests. Some interns will develop agentic solutions capable of answering business questions and performing approved actions across enterprise information sources. Other interns will develop standalone proxy services for full, front-end management of any LLM implementation. The ultimate product will be a single managed service which includes features such as detection, monitoring, security, and FinOps, allowing flexible implementations that nonetheless adhere to consistent governance and management standards. The ideal intern will have knowledge of AI/ML tools and fundamentals, software development and engineering best practices, API integration, microservice architecture, and at least one programming language.
The Must-Haves
- Currently enrolled in an associate's, bachelor's or master's degree program in computer science, IT, engineering, or other STEM field from a United States-based college or university.
- Basic understanding of core Data Science concepts, including data cleaning, exploratory analysis, simple statistical methods, and foundational machine learning principles, with an eagerness to learn and apply AI/ML techniques in real‑world projects