initiative delivery

ML Platform Development

Updated 2026-03-11 analytics ml-platform
ml-platform analytics

Initiative: ML Platform Development

Product: ML Platform Domain: Analytics JIRA: ML (394 issues)

Overview

Machine learning infrastructure, models, training pipelines, and MLOps for Duetto's AI capabilities.

Objectives

  1. Maintain ML platform infrastructure
  2. Support model training and deployment
  3. Enhance pricing intelligence
  4. Enable anomaly detection
  5. Develop RL pricing capabilities

Linked Repositories

See repos.yaml for complete repository manifest.

Repository Role
dataScienceDev primary
ml-platform-template infrastructure
ml_commons supporting
duetto-inference supporting
mlflow infrastructure
ml-helm infrastructure
ml-workflow-templates infrastructure

Key Metrics

Metric Target
Model training time <4 hours
Inference latency p99 <100ms
Model accuracy >95%

Technology Stack

  • Python 3.10+
  • TensorFlow/PyTorch
  • MLflow for tracking
  • SageMaker for training
  • Kubernetes for inference