Data Science Intern (Gen AI)

We are seeking a Data Science Intern with a keen interest in Generative AI to explore and implement state-of-the-art models. The ideal candidate is curious, creative, and proactive, with strong communication skills to simplify complex concepts. You'll experiment with prompt engineering, AI agents, and cutting-edge AI solutions in a collaborative environment, tackling real-world challenges. Key Responsibilities: Develop and deploy cutting-edge generative AI solutions by leveraging advanced deep learning (DL) and natural language processing (NLP) techniques. Construct robust data pipelines to preprocess and analyze large datasets, turning raw data into actionable insights for innovative projects. Collaborate with cross-functional teams to integrate AI models—such as those using transformer architectures and embedding techniques—into real-world applications. Required Skills: Pursuing degree/graduate in Data Science, Computer Science, Mathematics, or a related field. Proficiency in Python for data manipulation, analysis, and visualization, supported by solid SQL expertise. Demonstrable experience in DL and NLP (Natural Language Processing), including text preprocessing and modern architectures like transformers. Familiarity with advanced AI techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), and LLM (Large Language Models) for creating intelligent AI agents. Exposure to innovative frameworks and tools (e.g., LangChain, LamaIndex, Crew AI) along with experience in building interactive applications using web frameworks like Streamlit or Flask.