Business Services & Consulting • all cities, FL 10
MLOps Engineer - Credit Risk and Fraud Platform (Banking) (10)
all cities, FL 10On-sitePosted 3 hours ago
Business Services & Consulting
About the Role
MLOps Engineer
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.
Responsibilities:
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
Requirements:
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
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
Nice to have:
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
Benefits:
Solid, competitive salary
Work in a multinational environment on international projects
Comprehensive healthcare
Long-term B2B contract with a stable project pipeline
Remote work model
MLOps Engineer
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.
Responsibilities:
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
Requirements:
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
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
Nice to have:
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
Benefits:
Solid, competitive salary
Work in a multinational environment on international projects
Comprehensive healthcare
Long-term B2B contract with a stable project pipeline
Remote work model
What You'll Do
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
