Senior Machine Learning Engineer
Descrição da Vaga
At EBANX, you'll help expand access to payments and technology in some of the world's most dynamic markets. We're a **unicorn\-status fintech** , **AI\-powered** , and scaling fast across **29 countries and counting** . Our platform connects leading global companies to more than **1 billion consumers** , enabling seamless cross\-border payments where it matters most. We build with purpose, move with speed, and create solutions that are both innovative and inclusive. If you're looking to be part of a company that's transforming the future of payments with **clarity** , **ambition** , and **real\-world impact** — we'd love to meet you. In the Data team, we turn information into intelligence. We model, organize, and analyze data to generate strategic insights that drive decision\-making across EBANX. We're naturally curious and guided by evidence. **Your day\-to\-day impact:** * 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. **Must\-haves to shine in this role:** * 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. **Bonus points if you have:** * Knowledge of Kafka or similar event streaming platforms. * Familiarity with financial services or payment systems. **EBANX offers:** * **WAVES Program:** Annual bonuses based on the company's performance. * **Meal/Food Allowance:** Credit provided on a flexible benefits card. * **EBANX Education:** Financial support for undergraduate, graduate, and MBA programs to support your professional growth. * **EBANX Skills:** Budget dedicated to workshops, courses, and certifications to encourage your continuous development. * **Language Classes:** Spanish, English, and Portuguese lessons for your personal and professional development. * **EBANX Health:** Comprehensive medical and dental plans fully covered for the employee, plus subsidies for dependents to take care of your and your family's well\-being. * **EBANX Family:** Childcare assistance, extended parental leave for caregivers, and support programs for pregnant employees and children. * **Life Insurance:** Fully paid by EBANX. * **Transportation:** Parking assistance or transportation vouchers, depending on your needs. * **EBANX Flexible:** A special day off on your birthday, semi\-flexible working hours (8 hours/day, Monday to Friday), and year\-end recess between Christmas and New Year's without affecting your vacation days. * **EBANX Play:** Well\-being program including access to Wellhub, e\-Sports, and partnerships with SESC. * **Blue Club:** Exclusive discounts at bakeries, restaurants, stores, courses, and more. Follow us on LinkedIn and check out our Instagram to learn more about the \#ebanxlife.
Vaga originalmente publicada em: linkedin
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