AI Engineer Intern

Role Overview

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.

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.

Requirements

• 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.

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).

Skills

• Python
• Generative AI
• Data Science
• NumPy
• Pandas