Software Development Intern

About the Role We are seeking a motivated Software Development Intern with a strong interest in Artificial Intelligence and Machine Learning to join our team. This internship offers hands-on experience working on real-world AI/ML projects, collaborating with experienced engineers and data scientists to design, build, and deploy intelligent systems. Key Responsibilities Assist in the design, development, and implementation of AI/ML models and applications Write clean, efficient, and maintainable code in languages such as Python, Java, or C++ Work with large datasets to preprocess, analyze, and extract meaningful insights Support the training, testing, and evaluation of machine learning models Collaborate with cross-functional teams to integrate ML solutions into production systems Participate in code reviews, debugging, and performance optimization Document processes, methodologies, and technical findings Required Qualifications Must be a US Citizen Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field Basic understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation) Proficiency in at least one programming language (preferably Python) Familiarity with common ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Strong problem-solving skills and attention to detail Ability to work independently and as part of a team Preferred Qualifications Experience with data analysis and visualization tools (e.g., Pandas, Matplotlib) Knowledge of deep learning, natural language processing, or computer vision Exposure to cloud platforms (e.g., AWS, Azure, or GCP) Familiarity with version control systems (e.g., Git) Previous project or coursework in AI/ML What You’ll Gain Practical experience building AI/ML solutions in a professional environment Mentorship from experienced engineers and data scientists Exposure to real-world challenges and industry best practices Opportunity to contribute to impactful projects Networking opportunities and potential for future full-time roles