AI Engineer Intern
- Role
- AI / ML
- Experience
- Entry level
Open to IN only. Set where you work from to check your eligibility.
Core skills
Required skills
Optional skills
Role OverviewWe 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.ResponsibilitiesAssist 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.RequirementsStrong 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 HaveFamiliarity 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).SkillsPythonGenerative AIData ScienceNumPyPandas
What you'll do
- 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.
What they require
- 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).