Machine Learning Engineering Specialist

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.

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 be responsible for:

• Owning the design of system architecture to train, retrain, develop, monitor, and expose machine learning models
• Designing, developing, and maintaining scalable infrastructure for ML pipelines and APIs
• Implementing and managing CI/CD pipelines for ML model deployment, updates, and continuous monitoring
• Collaborating closely with data scientists, software engineers, and cross-functional teams
• Ensuring compliance with security and privacy requirements, particularly in a financial context
• Troubleshooting and optimizing ML production systems
• Sharing knowledge, mentoring, and supporting team members in best practices for MLOps, API development, and productionization of machine learning models

We are looking for candidates with:

• 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
• Understanding of security and compliance standards in payment systems

Additional desired skills:

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

Join EBANX and be part of a global team transforming the payment industry!