Description
Job Summary:
As a Data Engineer - Analytics & Machine Learning at Mercado Livre, you will design and scale innovative and secure systems to solve high-impact problems by applying AI in a dynamic environment.
Key Highlights:
1. Work with cutting-edge technology and proprietary AI models.
2. Lead challenging, dynamic, and innovative projects.
3. Democratize e-commerce and financial services across Latin America.
As a **Data Engineer \- Analytics \& Machine Learning** at Mercado Livre, you will design and scale innovative and secure systems that solve real-world, high-impact problems. You will work in a dynamic environment leveraging cutting-edge technology, engineering best practices, proprietary AI models, and continuous learning—all aimed at democratizing e-commerce and financial services across Latin America.
Imagine yourself leading challenging, dynamic, and innovative projects and **being responsible for:**
* Conducting exploratory data analyses and generating actionable insights to support decision-making.
* Developing, validating, and deploying statistical and machine learning models.
* Preparing and structuring data, performing data cleaning, transformation, and feature engineering.
* Defining, monitoring, and analyzing performance metrics and KPIs.
* Supporting experiment design and analysis, including A/B testing.
* Documenting processes, ensuring version control and monitoring best practices, and collaborating with cross-functional teams (Data, Engineering, Product, and Business).
**What we’re looking for in you:**
* Proficiency in Python and strong SQL knowledge.
* Experience with machine learning libraries (e.g., scikit\-learn, XGBoost, TensorFlow or similar) and application of statistics and predictive modeling.
* Familiarity with Git and cloud-based environments; knowledge of MLOps and model deployment is a plus.
* Demonstrated experience with large language models (LLMs), prompt engineering techniques, generative AI APIs, and understanding of agentic AI concepts—including agent orchestration and LLM-based automation.
**Are you excited to leave your mark on Latin America’s technology landscape?**
Apply now and join our mission!
Hybrid work mode. Melicidade Office (São Paulo).