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.
- Responsible for designing the system architecture to train, retrain, develop, monitor, deploy, and serve machine learning models in production;
- Design, develop, and maintain scalable infrastructure to support machine learning pipelines, APIs, and ML products;
- Implement and manage CI/CD pipelines for the deployment, updating, and continuous monitoring of machine learning models and services;
- Work with infrastructure and engineering practices specifically designed for machine learning products, including deployment, APIs, automation, and infrastructure as code;
- Collaborate closely with data scientists, software engineers, and cross-functional teams to ensure seamless integration of machine learning models into production;
- Ensure compliance with security and privacy requirements, especially in the financial context;
- Troubleshoot and optimize machine learning production systems, ensuring performance, reliability, scalability, and operational stability;
- Share knowledge, mentor, and support team members in MLOps best practices, API development, and machine learning model production.
- Hands-on experience as a Machine Learning Engineer, MLOps Engineer, or in related roles, with solid practical experience building and supporting infrastructure for machine learning models in production;
- Strong experience with cloud platforms such as AWS, GCP, or Azure;
- Proficiency with containerization tools such as Docker and orchestration systems (e.g., Kubernetes);
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and the infrastructure and production requirements of ML models;
- Strong Python skills with experience writing clean, efficient, and maintainable code;
- Experience with CI/CD tools such as GitLab CI, Jenkins, or GitHub Actions, as well as infrastructure as code tools such as Terraform;
- Knowledge of data pipelines and ETL processes (streaming and batch);
- Experience with monitoring, logging, and alerting solutions for machine learning services (e.g., Prometheus, Grafana, Datadog);
- Understanding of security and compliance standards in payment systems.
- Conversational English skills, with the ability to communicate effectively with international stakeholders, participate in discussions, and occasionally present or speak in English.
- Knowledge of Kafka or similar event streaming platforms;
- Familiarity with financial services or payment systems;
- Experience working with products that use machine learning or AI in their core;
- Experience with risk-related products, transaction routing, fraud prevention, or other payment use cases.
- 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 Required
- Hands-on experience as a Machine Learning Engineer, MLOps Engineer, or in a related role building and supporting production machine learning infrastructure
- Strong experience with cloud platforms such as AWS, GCP, or Azure
- Proficiency with Docker and orchestration systems such as Kubernetes
- Familiarity with TensorFlow, PyTorch, Scikit-learn, or similar machine learning frameworks
- Strong Python programming skills and experience writing clean, efficient, maintainable code
- Experience with CI/CD tools such as GitLab CI, Jenkins, or GitHub Actions
- Experience with infrastructure as code tools such as Terraform
- Knowledge of streaming and batch data pipelines and ETL processes
- Experience with monitoring, logging, and alerting solutions such as Prometheus, Grafana, or Datadog
- Understanding of security and compliance standards in payment systems
- Conversational English skills for international communication, discussions, and occasional presentations
- Knowledge of Kafka or similar event-streaming platforms
- Familiarity with financial services or payment systems
- Experience with products using machine learning or artificial intelligence at their core
- Experience with risk products, transaction routing, fraud prevention, or other payment use cases
Ebanx Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ebanx and has not been reviewed or approved by Ebanx.
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Healthcare Strength — Healthcare coverage is positioned as a core benefit in Brazil, with medical and dental plans and added supports like dependent subsidies and pharmaceutical assistance. This breadth suggests a stronger-than-baseline health offering for many Brazil-based roles.
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Wellbeing & Lifestyle Benefits — Wellbeing benefits include gym and studio access via Wellhub/TotalPass plus an internal sports/wellness program, alongside lifestyle perks such as snacks, pet-friendly space, and partner discounts. These items indicate a meaningful emphasis on day-to-day wellbeing beyond salary.
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Parental & Family Support — Family-oriented benefits include childcare assistance, extended caregiver leave, and support programs for pregnancy and parenting. This points to structured support for employees with caregiving responsibilities, at least in the Brazil baseline package.
Ebanx Insights
What We Do
WE GIVE ACCESS Since our founding in 2012, our aim is to make the world an explorable place for Latin Americans, and Latin America a possible region for international companies to enter. By offering local payment methods across LatAm we are conquering these desire day after day and already helped over 1000 merchants expand their business into the region and over 50 million Latin Americans to access global services and products. Companies like Airbnb, Wish, Spotify, Deezer, Aliexpress, Shopee, Ctrip and many other are among our portfolio. EBANX is headquartered in Curitiba - Brazil, but we are spread in all Latin America, US, China and Europe. Today, we are almost 1000 bankers around the world. More information about the company can be found on the official website. Watch our official video to know more about EBANX: https://youtu.be/h6y13xsDw-c
