About this role
EBANX needs to scale its fraud prevention, chargeback risk mitigation, and credit card payment protection systems as the fintech expands across emerging international markets. To solve this operational challenge, the data team requires a specialist who can design and deploy robust machine learning solutions directly into production environments.
In this capacity, the incoming practitioner will lead the complete lifecycle of AI systems, building predictive models using classical techniques like XGBoost, Random Forest, and Decision Trees. The work involves partnering closely with software engineers, data scientists, and MLOps specialists to construct dependable data pipelines, maintain APIs, and ensure rigorous model monitoring in the cloud.
An ideal candidate combines deep technical grounding in Python and cloud infrastructure with a practical mindset for translating complex payment challenges into measurable business outcomes. Someone who enjoys mentoring colleagues, working collaboratively across international teams, and taking ownership of production-grade AI infrastructure will thrive in this environment.
What you will do
- Manage the complete end-to-end design, development, evaluation, and deployment of machine learning and artificial intelligence solutions for production environments.
- Build and optimize models centered on fraud prevention, chargeback risk, and credit card payment security using classical techniques like XGBoost, Random Forest, and Decision Trees.
- Develop production-grade services, APIs, and data pipelines in coordination with AI engineering and MLOps specialists.
- Implement and oversee continuous integration and continuous delivery pipelines to streamline model deployment and system updates.
- Troubleshoot production issues through rigorous testing, validation, and continuous improvement of deployed machine learning systems.
- Translate complex payment and business challenges into actionable machine learning strategies with clear technical and financial impact.
- Mentor team members on industry best practices for model deployment, system integration, and machine learning modeling.
What you need
- Bring hands-on professional experience in data science and machine learning modeling.
- Demonstrate proven expertise in developing and evaluating models using XGBoost, Random Forest, and Decision Trees.
- Possess strong programming capabilities in Python for writing high-quality and maintainable code.
- Show practical experience deploying and operating machine learning models in real-world production environments.
- Demonstrate proficiency with major cloud platforms such as AWS, GCP, or Azure for deploying AI services.
- Maintain a solid understanding of data engineering concepts, ETL processes, and data pipeline architectures alongside CI/CD tools like GitHub Actions.
Nice to have
- Prior experience in fraud prevention, fraud detection, chargeback, payment risk, financial services, or fintech industries
- Experience developing or working with neural networks and alternative machine learning techniques
- Experience utilizing containerization tools such as Docker
- Experience collaborating closely with MLOps and AI engineering teams
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field
Benefits
- Performance Bonus
- Meal Allowance
- EBANX Education
- EBANX Skills
- Language Classes
- Health & Well-being
Skills and tech stack
Questions candidates ask
Where is this job located and what is the work model?
This position is located in Curitiba and operates on an on-site basis. The company offers a flexible work culture that includes semi-flexible hours.
What compensation and performance bonuses are provided?
Salary details are not specified in the posting. However, EBANX offers an annual performance bonus program based on company results.
What specific machine learning techniques and tools are used?
The team focuses heavily on classical machine learning techniques such as XGBoost, Random Forest, and Decision Trees. Engineers also work with Python, cloud platforms like AWS, GCP, or Azure, and CI/CD tools like GitHub Actions.
What professional development and learning support is available?
The company provides financial assistance for undergraduate, graduate, and MBA programs through EBANX Education. Additionally, EBANX Skills offers a dedicated budget for courses, certifications, and workshops alongside language classes.