Vaga de Machine Learning Engineering Specialist
1 vaga: | Publicada em 17/10
- A combinar
Sobre a vaga
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:
Bachelors or Masters 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!
Follow us on LinkedIn and check out our Instagram to learn more about the
#ebanxlife.