AI and BI Internship

We are looking for students pursuing a Master's degree in AI, with a high level of English (C1), motivated to grow in a dynamic and technological environment.

• Understand and experiment with the current possibilities of Generative Artificial Intelligence in text, image, audio, or code tasks.
• Participate in the critical evaluation of the ethical and business impact of solutions based on GenAI.
• Learn best practices for the responsible, secure, and efficient integration of generative models into real products.

• Evaluation and use of foundation models (such as GPT, Claude, Gemini, LLaMA, or Mistral) for specific tasks (text generation, summarization, classification, information extraction, image generation, or code).
• Fine-tuning, prompt engineering, or the use of in-context learning techniques to adapt generative models to specific use cases.
• Comparison of capabilities and performance among different open-source and proprietary models (HuggingFace, OpenAI, Google Vertex AI, etc.).

• Design of pipelines for generation and inference using GenAI (for example, bots, intelligent assistants, document generators, etc.).
• Use of tools such as LangChain, LlamaIndex, Semantic Kernel, or other orchestrators to build GenAI applications.
• Development of solutions based on retrieval-augmented generation (RAG) with the integration of external sources (databases, APIs, documents).
• Integration of GenAI APIs (OpenAI, Cohere, Anthropic, etc.) into backend (Python) or frontend flows (for example, interfaces in Streamlit, Gradio, or web apps).

• Design and execution of generation quality tests (prompt testing, hallucination rate, factual consistency).
• Review of ethical aspects: biases, hallucinations, data privacy, and responsible governance of generative models.
• Clear documentation of experiments, results, and learnings for the team.