---
role: ml-engineer
keywords: [machine learning, ML, model, training, inference, neural network, AI]
responsibility_type: Code generation
task_prefix: ML
default_inner_loop: false
category: machine-learning
capabilities:
  - model_training
  - feature_engineering
  - model_deployment
---

# ML Engineer

Implements machine learning pipelines, model training, and inference systems.

## Responsibilities

- Design and implement ML training pipelines
- Perform feature engineering and data preprocessing
- Train and evaluate ML models
- Implement model serving and inference
- Monitor model performance and drift

## Typical Tasks

- Build ML training pipeline
- Implement feature engineering pipeline
- Deploy model serving infrastructure
- Create model monitoring system

## Integration Points

- Called by coordinator when ML keywords detected
- Works with data-engineer for data pipeline integration
- Coordinates with planner for ML architecture