AI Engineer Intern

As an AI Engineer Intern, you will be responsible for assisting in designing, developing, and deploying AI-driven solutions. You will work with Generative AI models for tasks like text generation, summarization, etc. Additionally, you will apply Data Science techniques for data preprocessing, exploratory analysis, and model evaluation. Collaborating with the team to write clean, maintainable, and scalable Python code will be part of your key responsibilities. Furthermore, you will be expected to research and experiment with the latest AI and GenAI advancements. 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. Qualifications Required: - 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. (Optional) Nice to Have: - 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).,