Machine Learning Engineer Especialista II (Diretoria de Dados - Consumidor)

Key Responsibilities:

• Build end-to-end Machine Learning pipelines, including data preparation, code optimization, automated model training, and prediction workflows.
• Provide technical leadership in MLOps processes, establishing best practices for development, deployment, and maintenance.
• Design and implement cloud-based architectures for AI and data solutions using platforms such as GCP, AWS, or Azure.

Qualifications:

• Solid knowledge of Machine Learning concepts, including supervised learning, unsupervised learning, and Generative AI.
• Advanced programming skills in Python and SQL.
• Experience with cloud services, containers, Docker, and ML pipeline tools like Airflow, Kubeflow, or Vertex AI.

Benefits:

• Fully remote work model with flexibility to support work-life balance.
• Medical and dental insurance, plus healthcare support programs.
• Meal allowance, fitness partnerships, and home office support.