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Há 3 dias
We are much more than a technology company; we are a diverse, plural, and talented community. Our purpose is to lead digital transformation with excellence and agility, promoting mutual and genuine growth in ethical and long-lasting relationships. Flexibility is one of our trademarks; we operate in different team models and formats, maintaining our light, collaborative, and integrated culture, providing equitable opportunities in a space where everyone feels safe and heard. What you will do: Develop machine learning models and inference pipelines for practical applications in the SAP ecosystem (e.g., prioritization, classification, decision enrichment, RAG).Design and evaluate AI agent architectures with LLMs, using frameworks like Crew.ai, LangChain, AutoGen, etc.Work with the data and engineering teams to prepare features, ingest historical data, and perform exploratory analysis.Implement recommendation, classification, clustering, or language generation models, according to project goals.Evaluate risks, fairness, explainability, and performance metrics of models in production. Requisitos:What we are looking for: Solid experience as a Data Scientist, with a portfolio of models applied in a real-world context.Knowledge of generative AI and agent frameworks (e.g., LangChain, Crew.ai, AutoGen, Haystack, etc).Proficiency in Python, scikit-learn, transformers, Hugging Face, Pandas, NumPy.Ability to work with both classic models and LLMs, with knowledge of prompt engineering, embeddings, vectors, and contexts.Familiarity with Databricks, MLflow, and model versioning. Advanced or fluent English It will be a plus if you have: Experience developing RAG pipelines with context from both structured and unstructured data.Experience with SAP integrations or a proven willingness to immerse yourself in this universe.Knowledge of document search, chunking, embeddings, fine-tuning, and feedback loops in production systems. BenefíciosWhere you will work: This is a hybrid position, at our office at ACATE in Florianópolis, SC.
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