Software Development Intern
About the RoleWe 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 ResponsibilitiesAssist in the design, development, and implementation of AI/ML models and applicationsWrite clean, efficient, and maintainable code in languages such as Python, Java, or C++Work with large datasets to preprocess, analyze, and extract meaningful insightsSupport the training, testing, and evaluation of machine learning modelsCollaborate with cross-functional teams to integrate ML solutions into production systemsParticipate in code reviews, debugging, and performance optimizationDocument processes, methodologies, and technical findingsRequired QualificationsMust be a US CitizenCurrently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related fieldBasic 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 detailAbility to work independently and as part of a teamPreferred QualificationsExperience with data analysis and visualization tools (e.g., Pandas, Matplotlib)Knowledge of deep learning, natural language processing, or computer visionExposure to cloud platforms (e.g., AWS, Azure, or GCP)Familiarity with version control systems (e.g., Git)Previous project or coursework in AI/MLWhat You’ll GainPractical experience building AI/ML solutions in a professional environmentMentorship from experienced engineers and data scientistsExposure to real-world challenges and industry best practicesOpportunity to contribute to impactful projectsNetworking opportunities and potential for future full-time roles