Machine Learning Engineer
Mundiale
full-time
Posted on:
Location Type: Hybrid
Location: Belo Horizonte • 🇧🇷 Brazil
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
DockerPyTorchTensorflow
About the role
- Design, train, and validate language models (LLMs) applied to NLP.
- Build and maintain scalable pipelines for text pre-processing and post-processing.
- Develop and integrate services and APIs for model consumption within 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.
- Strong 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.
- Familiarity with MLOps tools and model deployment (Docker, FastAPI, MLflow).
- Interest in messaging, automation, and AI applied to conversational products.
Benefits
- Flexible Benefit (you decide how to use it according to your needs: culture, ride-hailing app, subscriptions, gym, meals, etc.).
- Unimed Unipart Health Plan.
- Career path.
- Hybrid work.
- Day Off.
- Short Friday.
- Collaborative and dynamic work environment.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
language modelsNLPFine-TuningTransfer LearningPrompt EngineeringtokenizationembeddingsRAGscalable architecturesAPIs