MLOps & Infrastructure
End-to-end MLOps solutions dla production ML systems.
Nasze podejście
Budujemy robust MLOps pipelines - CI/CD, model registry, monitoring, A/B testing i automated retraining.
Model Deployment
Scalable model serving i real-time inference.
Zakres prac:
- •REST API deployment
- •Batch inference
- •Edge deployment
- •Model versioning
Monitoring & Observability
Comprehensive model monitoring i performance tracking.
Zakres prac:
- •Data drift detection
- •Model performance monitoring
- •A/B testing
- •Alerting systems
CI/CD Pipelines
Automated training, testing i deployment pipelines.
Zakres prac:
- •Automated retraining
- •Model testing
- •Deployment automation
- •Rollback strategies
Stack Technologiczny
KubeflowMLflowAirflowDockerKubernetesPrometheusGrafana
Realizacje
Enterprise MLOps Platform
Full MLOps infrastructure supporting 50+ models
Zainteresowany?
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