Core Responsibilities

The role involves designing and implementing end-to-end data and AI solutions, focusing heavily on technical development using internal tools like Databricks, Airflow, and AWS Sagemaker. Key tasks include developing and refining machine learning models, AI agents, recommendation systems, and working on API development and prompt engineering.

Requirements

Candidates must have experience with AI agent experimentation and development, strong programming skills in SQL, Python, and PySpark, and proven knowledge of machine learning, statistics, and causal inference models. Expertise in LLM systems, including LangGraph and LangFlow, along with experience in ML services like AWS Sagemaker and Databricks, is required.

Additional Information

Experience Level

5-10

Job Language

Portuguese

Work Mode

On-site