Work on development, automation, and artificial intelligence, using automation and AI tools to improve operational efficiency, reduce manual tasks, and continuously enhance information flows.
The professional will be responsible for integrating data, systems, and analytical models, supporting business decisions and the company's strategic initiatives.
Create process automations using tools such as n8n, UiPath, Orchestrator, or similar.
Integrate different data sources (APIs, relational databases, files, internal and external systems).
Apply Data Science and AI techniques to optimize processes and generate insights.
Support the implementation of applied AI solutions (classification, prediction, cognitive automation).
Ensure the quality, consistency, and traceability of the data used in automated processes.
Document workflows, business rules, and developed automations.
Collaborate with business, engineering, and analytics teams to understand requirements.
Participate in POCs with vendors and evaluate new automation and AI technologies.

Experience with Machine Learning and AI applications.
Knowledge of Python and SQL.
Experience with process automation (n8n, UiPath, Power Automate, Airflow, or similar).
Integration via REST APIs and handling of structured and semi-structured data.
Machine Learning and AI applications.
Knowledge of code versioning (Git).

AI Engineer

Key skills