Grupo Protege
Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.
Logística de Valores e Cargas • Segurança Patrimonial • Segurança Eletrônica • Formação de Profissionais de Segurança • Serviços Auxiliares de Transporte Aéreo
Data Engineer
February 11
Grupo Protege
Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.
Logística de Valores e Cargas • Segurança Patrimonial • Segurança Eletrônica • Formação de Profissionais de Segurança • Serviços Auxiliares de Transporte Aéreo
📋 Description
• The company focuses on solving AI's data problem and is hiring multiple data engineers ranging from senior to staff level. • You'll design and implement scalable data orchestration processes and optimize data storage.
🎯 Requirements
• Proven experience in data engineering, with a solid track record of building data systems and processes. • Strong technical proficiency with data engineering tools, data warehouses and data lakes. • Strong programming skills in Java or Python. • Excellent problem-solving skills and adaptability in a dynamic and evolving tech landscape. • Excited to work in a company that deals with moving and transforming large volumes of data. • Experience with either Snowflake or Databricks • Experience with AWS • Prior startup experience • Familiarity with fine-tuning AI models
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