[Remote] MLOps Engineer – Credit Risk and Fraud Platform (Banking)

Descrição da Vaga

Requisitos

• Strong hands on experience in MLOps or ML platform engineering
• Solid Python skills for automation and tooling
• Experience with Docker and Kubernetes in production environments
• Practical experience with MLflow or similar model lifecycle management tools
• Hands on experience with CI/CD pipelines
• Experience working with Azure or AWS cloud platforms
• Understanding of monitoring and observability for ML systems
• Ability to operate in regulated or compliance heavy environments
• Fluent English for professional collaboration
• Experience deploying LangChain or LangGraph based services
• Exposure to banking, fintech, or fraud detection systems
• Experience with model governance and regulatory documentation
• Familiarity with high availability and low latency systems

Responsabilidades

• The role involves building and maintaining CI/CD pipelines for machine learning models and ensuring operational excellence within a regulated banking environment
• Build and maintain CI/CD pipelines for machine learning models
• Operationalise model lifecycle processes including versioning, promotion, and rollback
• Deploy and operate LangChain and LangGraph based services in production
• Implement monitoring for model performance, drift detection, and runtime failures
• Ensure traceability, auditability, and compliance readiness in regulated environments
• Collaborate with data scientists and ML engineers to support smooth model releases
• Optimise reliability, scalability, and security of ML and GenAI workloads

Benefícios