Machine Learning Engineering Specialist

Requisitos

• Hands-on experience as a Machine Learning Engineer, MLOps Engineer, or related role building and supporting ML infrastructure 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 ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and the infrastructure/production requirements of ML models
• Strong Python skills with clean, efficient, maintainable code

Desejáveis

• 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 at their core
• Experience with risk-related products, transaction routing, fraud prevention, or other payment use cases