EBANX is the leading payment platform connecting global companies with customers from the fastest-growing digital markets in the world.

Since the beginning of our journey, we have had one mission: to provide global access for everyone. We believe that transforming challenges into opportunities and making the impossible part of the journey is crucial! That's precisely why we created a payment technology that builds bridges between people and businesses every day in 29 rising markets across the globe.

We call ourselves ebankers, we are global thinkers, we value diversity, we foster creativity and we work hard to connect businesses and people worldwide through payments. Let's make history together?

As a Data Scientist Specialist focused on MLOPs your mission will be to own the design and deployment of scalable systems to train, monitor, and expose machine learning models in production.

You will also be responsible for:

Owning the design of system architecture to train, retrain, develop, monitor, and expose machine learning models;
Design, develop, and maintain scalable infrastructure for ML pipelines and APIs;
Implement and manage CI/CD pipelines for ML model deployment, updates, and continuous monitoring;
Collaborate closely with data scientists, software engineers, and cross-functional teams to ensure seamless integration of ML models into production;
Ensure compliance with security and privacy requirements, particularly in a financial context;
Troubleshoot and optimize ML production systems, ensuring performance, reliability, and scalability;
Share knowledge, mentor, and support team members in best practices for MLOps, API development, and productionization of machine learning models.

What we are looking for:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field;
4+ years of experience in MLOps, DevOps, or related roles;
Strong experience with cloud platforms (AWS, GCP, Azure);
Proficiency in containerization tools like Docker and orchestration systems (e.g., Kubernetes);
Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn);
Strong Python skills with experience in writing clean, efficient, and maintainable code;
Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions);
Knowledge of data pipelines and ETL processes (streaming and batch);
Experience in monitoring, logging, and alerting solutions for ML services (e.g., Prometheus, Grafana, DataDog);
Understanding of security and compliance standards in payment systems.

What else would we like to see?

Knowledge of Kafka or similar event streaming platforms.
Familiarity with financial services or payment systems.

EBANX offers:

Spanish, English, and Portuguese classes;
Meal Allowance;
Transportation voucher (if needed);
WAVES - Program of goals and results (variable compensation);
EBANX Play - Wellness (Gympass, e-Sports, SESC );
EBANX Education: financial support for undergraduate, graduate, and MBA programs so you can develop important skills for your career;
EBANX Skills: budget for workshops and courses;
EBANX Flexible: Birthday Day Off;
Semi-flexible hours (8 hours a day - Monday to Friday);
EBANX Family: Daycare assistance, extended leave for caregivers and support program for children and pregnant women;
EBANX Health: Health and Dental Insurance, with subsidy for dependents and medicine subsidy for ebankers;
Life Insurance: Life Insurance 100% paid by EBANX;
Blue Club: Exclusive discount for ebankers in bakeries, restaurants, courses, electronics stores, and more!

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Machine Learning Engineering Specialist

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