Engenheiro(a) de Machine Learning na Mundiale projetando e validando modelos de linguagem. Trabalhando com NLP e automação conversacional em um ambiente colaborativo e dinâmico.
Responsibilities
Design, train, and validate language models (LLMs) for NLP applications.
Build and maintain scalable pipelines for text pre- and post-processing.
Develop and integrate services and APIs for model consumption in messaging systems and conversational automation.
Requirements
Proven experience in systems development (with a focus on APIs and integrations with language models).
Proficiency in Fine-Tuning, Transfer Learning, and Prompt Engineering techniques.
Solid knowledge of applied NLP (tokenization, embeddings, RAG, etc.).
Ability to work with distributed and scalable architectures.
Experience with frameworks such as PyTorch, TensorFlow, or Hugging Face.
Experience with MLOps and model deployment tools (Docker, FastAPI, MLflow).
Interest in messaging, automation, and AI applied to conversational products.
Benefits
Flexible Benefit (you choose how to use it according to your needs: culture, transportation app, subscriptions, gym, meals, etc.); 🎉🚗💼🏋️🍔
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