Deploy from scratch and integrate the IT environment into a machine learning infrastructure.
Identify, analyze and interpret trends or patterns in complex data sets.
Develop and implement artificial intelligence models using machine learning to optimize and improve performance.
Develop, test and maintain automations and AI-based solutions.
Optimize processes across departments through the use of AI tools.
Collaborate with various business areas to improve the customer experience, with a focus on artificial intelligence and machine learning.
Work with agile methodologies (Scrum, Kanban).
Deploy large-scale intelligent applications.
Create scalable solutions that combine data and machine learning.

Degree in Information Systems, Systems Analysis, Computer Science, Computer Engineering or related fields.
Proven experience developing applications using the Python programming language.
Solid knowledge of popular Python frameworks and libraries such as Django, Flask, NumPy and Pandas.
Knowledge of relational databases (e.g., MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Redis).
Knowledge of integration tools, such as OIC (Oracle Integration Cloud) or similar tools.
Experience developing APIs and web services using frameworks such as REST, GraphQL, or similar.
Understanding of artificial intelligence concepts, machine learning and the use of generative AI models (Gemini, GPT, Claude).

Automation and Artificial Intelligence Analyst

Key skills