Machine Learning Engineering Specialist
Core
Design and deploy scalable AI systems and machine learning models in production for global digital payments.
Role type
Senior IC MLOps/Machine Learning Engineer
Builds
Production ML pipelines, APIs, and ML products for payment infrastructure
Domain
Fintech / Global Payments
Deliverable
production ML models
Required skills
Machine Learning Engineering, MLOps, Cloud platforms (AWS/GCP/Azure), Containerization (Docker/Kubernetes), Python, CI/CD, Infrastructure as Code (Terraform), Data pipelines (ETL), Monitoring/Logging
Preferred skills
Kafka, Financial services domain knowledge, Risk/Transaction routing/Fraud prevention
Technologies
TensorFlow, PyTorch, Scikit-learn, GitLab CI, Jenkins, GitHub Actions, Prometheus, Grafana, Datadog
Responsibilities
Design system architecture for training, retraining, and serving ML models; Develop and maintain scalable ML infrastructure; Implement CI/CD pipelines for model deployment; Collaborate with data scientists and engineers on model integration; Ensure security and compliance in financial contexts; Optimize production systems for performance and reliability; Mentor team on MLOps best practices
Seniority
Senior, hands-on IC
