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Há 3 dias
As a highly skilled Data Scientist with expertise in AI and Large Language Models (LLMs), you will develop machine learning models and inference pipelines for practical applications in the SAP ecosystem. You will design and evaluate AI agent architectures with LLMs, utilizing frameworks like Crew.ai, LangChain, AutoGen, and others. In this role, you will work closely with data and engineering teams to prepare features, ingest historical data, and perform exploratory analysis.
You will implement recommendation, classification, clustering, or language generation models based on project goals and evaluate risks, fairness, explainability, and performance metrics of models in production. This is a hybrid position, offering the opportunity to work with both classic models and LLMs, as well as knowledge of prompt engineering, embeddings, vectors, and contexts.
Required Skills and Qualifications
- Solid experience as a Data Scientist with a portfolio of models applied in a real-world context.
- Knowledge of generative AI and agent frameworks, such as LangChain, Crew.ai, AutoGen, Haystack, and others.
- 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.
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