Job Summary: A Data Professional with experience in AI/ML to optimize and integrate generative models, focusing on fine-tuning and prompt engineering for LLMs, as well as analysis and validation of results. Key Highlights: 1. Experience with generative models and LLMs in production. 2. Fine-tuning pre-trained models using proprietary data. 3. Optimizing interactions with LLMs through prompt engineering. * **Education:** Bachelor’s degree in Data Science, Physics, Statistics, Mathematics, Computer Science, or related fields. * **Experience** integrating models via APIs and web services. Proven experience in data science, machine learning, or AI engineering. Prior involvement in projects utilizing generative models or LLMs deployed in production. Hands-on experience fine-tuning pre-trained models using proprietary data. Advanced Python proficiency with experience in pandas, numpy, LangChain, and asyncio. Practical knowledge of scikit-learn, TensorFlow, and PyTorch. Experience with pre-trained LLMs and Transformer architectures. Familiarity with Git. * **Responsibilities:** Perform fine-tuning of pre-trained models using internal datasets, applying techniques such as LoRA, PEFT, and distillation when necessary. Apply prompt engineering to optimize interactions with LLMs via APIs (OpenAI, Anthropic, and Google). Analyze results, define success metrics, and conduct continuous model validation (F1, BLEU, perplexity, etc.). * **Location:** Centro - São Paulo - SP (on-site).