Data Science Specialist

Ebanx

Today

Location: Curitiba | On-site
Workplace: Onsite
Department: Data & AI
Education: Master
Source: Greenhouse

Description

EBANX is one of the most successful fintechs to emerge from Latin America — and today, we are building a truly global payments company. Our mission has remained constant from day one: to unlock access and enable companies and consumers to participate in the digital economy, no matter where they are.

What started as a bold vision has grown into a platform that connects some of the world’s largest digital businesses with customers across 21 of the fastest-growing markets. We operate where complexity exists — turning local challenges into global opportunities, and building the infrastructure that allows payments to move further, faster, and smarter.

We are a team of builders and problem-solvers. We think globally, act with curiosity, and believe diversity of thought is a competitive advantage.

As EBANX enters its next phase of hyper growth, we are looking for people who want to shape the future of payments, expand what’s possible, and help connect businesses and consumers across borders.
Let’s build what’s next — together.

At EBANX’s Data team you don’t just work with numbers. You transform information into intelligence that drives strategic decisions and directly impacts the digital payments revolution on a global scale. Every analysis combines curiosity, rigor, and collaboration, making our work truly Out of the Ordinary.

• As an AI Engineer Specialist your mission will be to own the design and deployment of scalable AI systems in production.

Your day-to-day impact:

Own the end-to-end design, development, evaluation, and deployment of Machine Learning and AI solutions, ensuring scalability, reliability, and performance;
Develop and optimize Machine Learning models, with a strong focus on classical Machine Learning techniques such as XGBoost, Random Forest, and Decision Trees, ensuring robustness, explainability, and efficiency;
Build models and strategies focused on fraud prevention, chargeback risk, and risk prevention in credit card payments;
Translate business and payment-related challenges into effective Machine Learning solutions, considering both technical performance and business impact;
Build and maintain production-grade solutions for AI applications, including APIs, data pipelines, and services, in collaboration with AI Engineering and MLOps specialists;
Implement and oversee continuous integration and continuous delivery (CI/CD) pipelines for AI model deployment and updates;
Collaborate closely with data scientists, AI engineers, MLOps specialists, software engineers, and stakeholders across teams to translate business requirements into actionable AI solutions;
Troubleshoot production issues related to AI and Machine Learning systems, performing rigorous testing, validation, and continuous improvement;
Contribute to the evolution of AI-powered solutions and explore new ways of applying AI to improve development efficiency and business outcomes;
Mentor team members on best practices in Machine Learning modeling, AI engineering, model deployment, and system integration.

Must-haves to shine in this role:

Hands-on experience in Data Science and Machine Learning modeling;
Proven expertise in developing and evaluating Machine Learning models, especially using XGBoost, Random Forest, and Decision Trees;
Strong programming skills in Python, with demonstrated experience in developing high-quality, maintainable code;
Experience working with Machine Learning models in real-world or production environments;
Strong analytical and problem-solving skills, with the ability to translate business challenges into Machine Learning solutions;
Proficiency with cloud platforms (AWS, GCP or Azure), including deploying AI services and managing cloud resources;
Strong knowledge of CI/CD tools and processes (GitHub Actions);
Solid understanding of data engineering concepts, ETL processes, and data pipeline architectures;
Experience with monitoring and logging solutions for ML systems (e.g., CloudWatch or DataDog);
Awareness of security standards and compliance requirements relevant to AI and data-driven systems;
Conversational English proficiency, with the ability to communicate effectively with international stakeholders.

Bonus points if you have:

Prior experience in fraud prevention, fraud detection, chargeback, payment risk, financial services, fintech, or related industries;
Experience developing or working with neural networks and other Machine Learning techniques;
Experience with containerization tools (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;

EBANX offers:

Performance Bonus: Annual bonus program based on company results.
Meal Allowance: Monthly allowance to support your meals.
EBANX Education: Financial assistance for undergraduate, graduate, and MBA programs to support your professional growth.
EBANX Skills: Dedicated budget for courses, certifications, and workshops to encourage continuous learning.
Language Classes: Language classes to support your personal and professional development.
Health & Well-being: Medical and dental plans with extensive coverage, including support for dependents and wellness programs.
Flexible Work Culture: Semi-flexible hours, additional day off on your birthday, and year-end break to support work-life balance.
Well-being Program: Access to activities and resources that promote physical and mental health.

Learn more about our #ebanxlife on LinkedIn and Instagram, and see what it’s like to be part of a global team that breaks barriers, creates opportunities, and celebrates every achievement together.

✨ An Out Of The Ordinary career is waiting for you here!

Skills

PythonAWSAzureGCPDockerCI/CDMachine LearningData ScienceData EngineeringETLGitHubCompliance