MLOps & AI Production Consulting

Features

• ✦MLOps architecture design and platform selection
• ✦CI/CD pipelines for ML models (model versioning, testing)
• ✦Feature engineering and feature store implementation
• ✦Model monitoring (drift detection, performance degradation)
• ✦A/B testing framework for ML model comparison
• ✦ML governance and model risk management
• ✦Automated retraining and model lifecycle management
• ✦Kubeflow, MLflow, or Vertex AI implementation