;
MLOps Platform for Model Lifecycle Management
Unified MLOps capabilities across various countries to manage and scale ML models with full governance. Explore how Unison’s MLOps platforms drive operational excellence across global banking environments.
MLOps Platform for Model Lifecycle Management
Client / Department
Operating across 8 countries, this regional bank's data science teams worked in isolation with fragmented tools and inconsistent practices. The chaos resulted in prolonged deployment cycles, undetected model failures, and escalating costs. They needed a standardized MLOps platform to unify operations while maintaining agility, reliability, and regulatory compliance across their entire data science organization.
Problem
Fragmented model development and inconsistent deployment pipelines
- Multiple ML frameworks and ad hoc processes
- No versioning or monitoring of production models
- Long resolution times for model failures
- No centralized audit trail for regulatory review
Solution
Enterprise-grade MLOps platform with automation and governance
- Designed centralized platform supporting full ML lifecycle
- Built CI/CD pipelines for model testing, validation, and deployment
- Integrated drift detection and auto-retraining workflows
- Created model registry with governance and audit controls
Technology Stack
We implemented scalable, open-source, and cloud-native technologies customized for enterprise banking needs.
MLflow
Kubeflow
Apache Airflow
Docker & Kubernetes
Prometheus & Grafana
GitLab CI/CD
Feast Feature Store
Achievements
The platform brought agility, traceability, and cost-efficiency to ML operations.