Prompt Engineer Intern Jobs in Maryland (NOW HIRING)

Data Management Services, Inc. (DMS International) is a professional services firm headquartered in Silver Spring, Maryland, with work locations throughout the continental United States. We prepare managers and executives to lead their workforce through customized learning solutions that drive the standards of an ever-changing world. We build creative, unique, and engaging learning experiences for commercial, civilian and defense organizations. Our high-caliber talent, delivery methodology and innovative solutions contribute to preparing a workforce that is ready for the future. You can join us on this journey to bring efficiency and creativity to our customers.
At DMS, we are the catalyst for effective workforce transformation. To achieve this, we hire professionals who take pride in doing quality work and who are excited about contributing to the professional development of tomorrow's leaders.
DMS seeks candidates that possess and display the attributes that reflect our Core Values of:

• Quality in delivering solutions
• Leadership
• Teamwork
• Innovation
• Integrity in conduct
• Responsiveness to our customer's mission.

DMS International is an Equal Opportunity Employer. We make employment decisions without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law. We encourage individuals from all backgrounds to apply.
Job Description
DMS is seeking a Data Scientist & Machine Learning Engineer Intern to join our technical team. The intern will support the design, development, testing, and implementation of AI-powered products for content creation, learning, training, simulations, and decision support. Working under the supervision of the AI and Simulation Program Manager, the intern will collaborate with developers, instructional designers, simulation specialists, and subject matter experts to transform data and emerging AI technologies into practical applications.
Responsibilities

• Support the development of Generative AI and Large Language Model (LLM) applications, including prompt engineering and Retrieval-Augmented Generation (RAG)
• Develop AI capabilities for transforming source documents into courses, learning content, assessments, scenarios, case studies, and other digital content
• Assist in developing AI-powered simulations and serious games, including dynamic scenarios, intelligent agents, participant analytics, and after-action reports
• Collect, clean, analyze, and visualize structured and unstructured data
• Develop natural language processing (NLP) solutions for document summarization, semantic search, classification, information extraction, and question answering
• Build prototypes and integrate AI/ML models with applications through APIs and cloud services
• Conduct model testing and evaluation for performance, accuracy, reliability, bias, and hallucinations
• Support responsible AI practices, model documentation, data governance, and AI risk management
• Develop, train, test, and evaluate machine learning and predictive models
• Research emerging technologies such as agentic AI, multimodal AI, synthetic data, digital twins, knowledge graphs, and adaptive learning

Required Skills & Experience

• Familiarity with machine learning frameworks such as Scikit-learn, PyTorch, and/or TensorFlow
• Knowledge of Generative AI concepts, LLMs, prompt engineering, embeddings, RAG, and/or Hugging Face
• Familiarity with REST APIs, Git/GitHub, and basic application development
• Knowledge of statistical analysis, data visualization, and predictive modeling
• Strong analytical and problem-solving skills
• Curiosity about emerging AI technologies and willingness to experiment and learn
• Ability to work independently and collaboratively within a multidisciplinary team
• Experience through academic projects, research, hackathons, personal projects, or internships involving machine learning, Generative AI, NLP, simulations, analytics, or AI application development is preferred
• GitHub portfolio or examples of AI/ML projects are encouraged
• Experience or coursework in Python, SQL, Pandas, NumPy, and Jupyter Notebook
• Exposure to OpenAI, Azure OpenAI, IBM watsonx, AWS/GCP AI services, LangChain, LlamaIndex, vector databases, FastAPI, Django, Flask, or Docker is a plus.

Education

• Currently pursuing or recently completed a Bachelor's, Master's, or doctoral degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Statistics, Applied Mathematics, Computer or Software Engineering, Information Systems, Operations Research, or a related quantitative or technical field

Position Type

• Part-time Intern

Location

• Remote