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
