National Security Solutions (NSS) - Generative AI Intern
National Security Solutions (NSS) - Generative AI Intern Project Overview To advance the organization's capabilities in Generative AI through hands-on research, experimentation, and development of prototype solutions that leverage large language models, multimodal AI systems, and data engineering techniques. The intern will join the AI R&D team to assist in generative AI experimentation and development. This project will focus on identifying promising AI techniques, improving model performance through better data and evaluation methods, and building small-scale prototypes to demonstrate new capabilities. Key Responsibilities
- Conduct literature reviews on emerging generative AI research and tools.
- Annotate and curate datasets for model training and fine-tuning.
- Evaluate and document model outputs for quality, accuracy, and bias.
- Develop or refine data pipelines for automated testing and model evaluation.
- Contribute to prototype development and internal demos.
- Present findings and recommendations to the AI R&D team.
- Currently enrolled in a college/university pursuing a Bachelor's level degree.
- Strong analytical and problem-solving skills to drive analytic insights and/or workflow automation.
- Expected to have data wrangling skills.
- Proficiency in programming languages like Python or R.
- Familiarity with Retrieval Augmented Generation (RAG) architectures and Large Language Models (LLM).
- Full-time rising senior or graduate student.
- Designing and developing AI agents, implementing agentic workflows.
- Agentic AI frameworks such as LangGraph and standards such as Model Context Protocol (MCP).
- Text mining and Natural Language Processing techniques such as Named Entity Recognition and Text Classification.
- Graph Analysis tools such as Neo4J and Cypher.
- Databricks, Azure AI Foundry, Amazon Bedrock, Amazon SageMaker.
- Process Automation, Image Analysis, Predictive and Prescriptive analysis.
- Understanding of applied machine learning methods and algorithms.
- Exploratory Data Analysis and Workflow Improvement.
- Data-oriented personality with proficiency in using data query languages such as SQL and ability to understand various data structures and common methods in data transformation.
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