Sap data scientist ai llm

3 semanas atrás

Florianópolis, Brasil Netvagas Tempo inteiro
Overview

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.
RequisitosWhat 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.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Human Resources Services

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