Job Summary: As a Senior Data Engineer at Mercado Livre, you will design and scale innovative and secure data systems to solve high-impact problems, working with cutting-edge technology, AI, and continuous learning. Key Highlights: 1. Design and scale innovative and secure data systems 2. Work in a dynamic environment with cutting-edge technology and AI 3. Develop and implement Machine Learning and Data Science models As a **Senior Data Engineer** at Mercado Livre, you will design and scale innovative and secure data systems that solve real-world, high-impact problems. You will work in a dynamic environment with cutting-edge technology, applying best practices in data engineering, AI models, and continuous learning—aiming to democratize e-commerce and financial services across Latin America. At Mercado Livre, we strive to ensure our users can operate with the same DNA anywhere. Therefore, we offer a hybrid work model, balancing in-office work at our offices and remote work. Imagine yourself leading challenging, dynamic, and innovative projects and being **responsible for:** * Analyzing business problems and modeling them scientifically—manipulating data, formulating hypotheses, running experiments, and interpreting results to identify impact metrics. * Developing, training, and evaluating production-optimized Machine Learning and Data Science models, creating solutions for diverse problems through constant experimentation. * Implementing models in production in collaboration with the engineering team, monitoring performance, and ensuring long-term stability and business impact. * Building and maintaining synchronous, asynchronous, and batch data pipelines to feed both internal models and those of other teams. * Leveraging AI tools and internal components to boost productivity in scientific work and model implementation. * Designing efficient and scalable data architectures that support real-time predictions and optimizations. **What we’re looking for in you:** * Solid experience in data engineering for building and maintaining pipelines using SQL, BigQuery, and other databases. * Advanced knowledge of Python and ability to serve data and models via APIs. * Proficiency and passion for modeling using various methods—including statistical, Machine Learning, neural networks—and end-to-end architecture implementation. * Ability to conceptualize and select appropriate modeling methodologies from scratch, always focusing on business and product context. **Are you excited to leave your mark on Latin America’s technology landscape?** Apply now and join our purpose! Hybrid work model. São Paulo (Brazil) site