{
  "id": "responsibility:model-training-quality",
  "_kind": "Responsibility",
  "_file": "role/responsibilities/responsibilities-expanded-2.yaml",
  "_cluster": "role",
  "attributes": {
    "displayName": "Model training quality",
    "cadence": "continuous",
    "description": "Ensure ML model training produces reliable, reproducible results —\nmonitor training loss convergence, validate against holdout sets,\ntrack experiment lineage, and enforce training best practices.\n"
  },
  "outgoingEdges": [
    {
      "from": "responsibility:model-training-quality",
      "to": "role:ml-engineer",
      "kind": "held_by",
      "attributes": {}
    },
    {
      "from": "responsibility:model-training-quality",
      "to": "role:applied-scientist",
      "kind": "held_by",
      "attributes": {}
    },
    {
      "from": "responsibility:model-training-quality",
      "to": "role:nlp-engineer",
      "kind": "held_by",
      "attributes": {}
    },
    {
      "from": "responsibility:model-training-quality",
      "to": "skill-area:machine-learning-frameworks",
      "kind": "requires_expertise",
      "attributes": {}
    },
    {
      "from": "responsibility:model-training-quality",
      "to": "skill-area:model-evaluation",
      "kind": "requires_expertise",
      "attributes": {}
    }
  ],
  "incomingEdges": [
    {
      "from": "role:nlp-engineer",
      "to": "responsibility:model-training-quality",
      "kind": "holds_responsibility"
    },
    {
      "from": "role:computer-vision-engineer",
      "to": "responsibility:model-training-quality",
      "kind": "holds_responsibility"
    },
    {
      "from": "role:reinforcement-learning-engineer",
      "to": "responsibility:model-training-quality",
      "kind": "holds_responsibility"
    },
    {
      "from": "workflow:model-training-pipeline",
      "to": "responsibility:model-training-quality",
      "kind": "triggers_responsibility",
      "attributes": {}
    }
  ]
}