AI Engineer Intern

Responsibilities: • Collaborate with AI engineers and data scientists to design, develop, and implement AI models and algorithms. • Participate in data collection, preprocessing, and augmentation to ensure high-quality datasets for training and validation. • Assist in the experimentation and evaluation of various machine learning algorithms to achieve optimal performance metrics. • Collaborate with the team to document technical specifications, user guides, and best practices for AI development and deployment. • Participate in team meetings, brainstorming sessions, and knowledge-sharing activities to foster a culture of continuous learning and improvement. • Assist in troubleshooting and debugging AI-related issues in collaboration with the broader engineering team. • Embrace a proactive and flexible approach, taking on additional tasks and responsibilities as needed to support the team and meet project goals. Qualification/Requirements: • Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field. • Strong foundation in machine learning, deep learning, and AI concepts. • Practical experience with programming languages such as Python and C++, and familiarity with popular libraries (e.g., TensorFlow, PyTorch). • Excellent problem-solving skills and the ability to think critically about complex technical challenges. • Effective communication skills, both written and verbal, with the ability to work well in a team environment. • Passion for AI and a demonstrated willingness to learn and explore new technologies. • Previous coursework, projects, or internships related to AI, machine learning, or data science is a plus. • A strong portfolio showcasing personal or academic AI projects is highly desirable.