MLOps Engineer – Credit Risk and Fraud Platform (Banking)

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We are seeking an MLOps Engineer to join a large-scale decision intelligence platform focused on credit risk assessment and fraud prevention within an international banking environment. This production-critical role involves building CI/CD pipelines, managing model lifecycles, and deploying GenAI orchestration layers using LangChain and LangGraph. You will ensure operational excellence, reliability, and regulatory compliance while collaborating with data scientists and ML engineers.

• Build and maintain CI/CD pipelines for machine learning models
• Operationalize 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
• Optimize reliability, scalability, and security of ML and GenAI workloads

• 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