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MLOps Engineer – Credit Risk and Fraud Platform (Banking)
JOB SUMMARY
Roles
Job details
This is a remote position.
We are looking for an MLOps Engineer to join a large scale decision intelligence platform supporting credit risk assessment and fraud prevention within an international banking environment.
The platform combines advanced machine learning, high volume data processing, and GenAI orchestration layers embedded directly into live banking systems.
This is a production critical role focused on operational excellence, reliability, and regulatory alignment.
The system is already live and continuously evolving, with frequent model releases, new data integrations, and LangChain and LangGraph based reasoning components layered on top of core ML outputs. ResponsibilitiesBuild and maintain CI/CD pipelines for machine learning modelsOperationalise model lifecycle processes including versioning, promotion, and rollbackDeploy and operate LangChain and LangGraph based services in productionImplement monitoring for model performance, drift detection, and runtime failuresEnsure traceability, auditability, and compliance readiness in regulated environmentsCollaborate with data scientists and ML engineers to support smooth model releasesOptimise reliability, scalability, and security of ML and GenAI workloads
Requirements
Strong hands on experience in MLOps or ML platform engineeringSolid Python skills for automation and toolingExperience with Docker and Kubernetes in production environmentsPractical experience with MLflow or similar model lifecycle management toolsHands on experience with CI/CD pipelinesExperience working with Azure or AWS cloud platformsUnderstanding of monitoring and observability for ML systemsAbility to operate in regulated or compliance heavy environmentsFluent English for professional collaborationNice to haveExperience deploying LangChain or LangGraph based servicesExposure to banking, fintech, or fraud detection systemsExperience with model governance and regulatory documentationFamiliarity with high availability and low latency systems
Benefits
Solid, competitive salaryWork in a multinational environment on international projectsComprehensive healthcareLong-term B2B contract with a stable project pipelineRemote work model.
We are looking for an MLOps Engineer to join a large scale decision intelligence platform supporting credit risk assessment and fraud prevention within an international banking environment.
The platform combines advanced machine learning, high volume data processing, and GenAI orchestration layers embedded directly into live banking systems.
This is a production critical role focused on operational excellence, reliability, and regulatory alignment.
The system is already live and continuously evolving, with frequent model releases, new data integrations, and LangChain and LangGraph based reasoning components layered on top of core ML outputs. ResponsibilitiesBuild and maintain CI/CD pipelines for machine learning modelsOperationalise model lifecycle processes including versioning, promotion, and rollbackDeploy and operate LangChain and LangGraph based services in productionImplement monitoring for model performance, drift detection, and runtime failuresEnsure traceability, auditability, and compliance readiness in regulated environmentsCollaborate with data scientists and ML engineers to support smooth model releasesOptimise reliability, scalability, and security of ML and GenAI workloads
Requirements
Strong hands on experience in MLOps or ML platform engineeringSolid Python skills for automation and toolingExperience with Docker and Kubernetes in production environmentsPractical experience with MLflow or similar model lifecycle management toolsHands on experience with CI/CD pipelinesExperience working with Azure or AWS cloud platformsUnderstanding of monitoring and observability for ML systemsAbility to operate in regulated or compliance heavy environmentsFluent English for professional collaborationNice to haveExperience deploying LangChain or LangGraph based servicesExposure to banking, fintech, or fraud detection systemsExperience with model governance and regulatory documentationFamiliarity with high availability and low latency systems
Benefits
Solid, competitive salaryWork in a multinational environment on international projectsComprehensive healthcareLong-term B2B contract with a stable project pipelineRemote work model.
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Madiff United States
