Build, train, and optimize machine learning models, including NLP and predictive systems.
Analyze structured and unstructured datasets and support data pipeline creation.
Contribute to experiments, model evaluations, and performance benchmarking.
Collaborate with cross-functional teams to shape product features and AI agent capabilities.
Support internal tool development and contribute to agent testing infrastructure.
Present work through demos and a capstone showcase to leadership.
Contribute to team objectives and take on additional responsibilities as needed.

Bachelor’s or Master’s student in Computer Science, Data Science, Machine Learning, or a related field (junior, senior, or graduate level preferred).
Hands-on academic, research, or project experience in machine learning, data analysis, or software development.
Proficiency in Python and experience with libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow.
Experience building or working with machine learning models, including NLP or predictive systems.
Familiarity with Git, APIs, and software development practices.
Exposure to cloud platforms such as AWS or Azure.
Strong problem-solving and analytical thinking skills.
Ability to collaborate in a team-oriented, Agile environment.
Knowledge of MCP and A2A protocols or willingness to learn.
Experience working with NLP or unstructured text data.
Exposure to AI/ML experimentation, benchmarking, or research environments.
Interest in public sector, healthcare technology, or mission-driven AI solutions.

AI Software Developer Intern

Key skills