AI Engineer Intern

About the Role: We are looking for a passionate AI Engineer Intern with a solid foundation in Python , Object-Oriented Programming (OOPs) , and an interest in Generative AI (GenAI) . The ideal candidate should also have exposure to Data Science concepts and a willingness to work on real-world AI/ML projects under the mentorship of our engineering team. Key Responsibilities: Assist in designing, developing, and deploying AI-driven solutions. Work with Generative AI models for tasks like text generation, summarization etc Apply Data Science techniques for data preprocessing, exploratory analysis, and model evaluation. Collaborate with the team to write clean, maintainable, and scalable Python code. Research and experiment with the latest AI and GenAI advancements. Must-Have Skills: Strong knowledge of Python programming . Good understanding of Object-Oriented Programming (OOPs) concepts. Exposure to Generative AI (GenAI) models (e.g., GPT, LLaMA, or similar). Understanding of prompt engineering , tool calling , and shot-based prompting (zero-shot, one-shot, few-shot). Basic understanding of Data Science principles (data handling, feature engineering, model building). Familiarity with libraries like NumPy, Pandas, Scikit-learn Problem-solving mindset with eagerness to learn and experiment. Good communication and collaboration skills. Eligibility Criteria: Candidates pursuing their final year (8th semester) of a bachelor's degree or Graduates from the 2026 Batch are eligible to apply. Education Qualification: Minimum Qualification: Bachelor's Degree in CSE, AI&ML, ISE or an Equivalent Qualifications Nice to Have (Optional): Familiarity with libraries like PyTorch/TensorFlow . Fine-tuning LLMs. Hands-on experience with AI projects (personal, academic, or hackathons). Knowledge of software development best practices (version control, testing).