Hybrid Machine Learning Engineer

Posted last month

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About the role

  • 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.); 🎉🚗💼🏋️🍔
  • Unimed Unipart Health Plan; 🏥
  • Career path; 🚀
  • Hybrid work; 🏡
  • Day Off; 🌞
  • Short Friday; 😎
  • Collaborative and dynamic work environment. 🤝💼

Job title

Machine Learning Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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