Sap data scientist ai llm

3 semanas atrás

Florianópolis, Brasil Netvagas Tempo inteiro

OverviewJoin to apply for the Sap data scientist ai llm role at Netvagas. What You Will DoDevelop 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. QualificationsSolid 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 HaveExperience 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. Benefits / Where You Will WorkThis is a hybrid position, at our office at ACATE in Florianópolis, SC. Seniority levelMid-Senior level Employment typeFull-time Job functionEngineering and Information Technology IndustriesHuman Resources Services #J-18808-Ljbffr

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    Overview Join to apply for the Sap data scientist ai llm role at Netvagas. 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,...

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