Software Development Intern

Software Development Intern Bana Solutions United States, Virginia, McLean 8260 Greensboro Drive (Show on map) May 05, 2026
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 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