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:
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Assist in designing, developing, and deploying AI-driven solutions.
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Work with Generative AI models for tasks like text generation, summarization etc
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Apply Data Science techniques for data preprocessing, exploratory analysis, and model evaluation.
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Collaborate with the team to write clean, maintainable, and scalable Python code.
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Research and experiment with the latest AI and GenAI advancements.
Must-Have Skills:
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Strong knowledge of Python programming.
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Good understanding of Object-Oriented Programming (OOPs) concepts.
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Exposure to Generative AI (GenAI) models (e.g., GPT, LLaMA, or similar).
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Understanding of prompt engineering, tool calling, and shot-based prompting (zero-shot, one-shot, few-shot).
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Basic understanding of Data Science principles (data handling, feature engineering, model building).
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Familiarity with libraries like NumPy, Pandas, Scikit-learn
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Problem-solving mindset with eagerness to learn and experiment.
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Good communication and collaboration skills.
Nice to Have (Optional):
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Familiarity with libraries like PyTorch/TensorFlow.
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Fine-tuning LLMs.
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Hands-on experience with AI projects (personal, academic, or hackathons).
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Knowledge of software development best practices (version control, testing).
