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Há 4 dias
Our organization is seeking a highly skilled professional to work on developing machine learning models and inference pipelines for practical applications in the SAP ecosystem.
Key Responsibilities- We are looking for someone with solid experience as a data scientist who has applied models in real-world contexts. Additionally, proficiency in Python, scikit-learn, transformers, Hugging Face, Pandas, NumPy, and knowledge of generative AI and agent frameworks like LangChain, Crew.ai, AutoGen, Haystack, etc., are essential.
- The ideal candidate should be able to design and evaluate AI agent architectures with Large Language Models (LLMs) and collaborate with data and engineering teams to prepare features, ingest historical data, and perform exploratory analysis.
- This position requires the ability to implement recommendation, classification, clustering, or language generation models according to project goals and evaluate risks, fairness, explainability, and performance metrics of models in production.
- 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.
- Familiarity with Databricks, MLflow, and model versioning.
- Able to work with both classic models and LLMs, with knowledge of prompt engineering, embeddings, vectors, and contexts.
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