senior-ml-engineer

Malicious tool definition detected

Tool: SKILL.md Description: --- name: senior-ml-engineer description: World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems.

Malicious tool definition detected

Tool: references/llm_integration_guide.md Description: # Llm Integration Guide ## Overview World-class llm integration guide for senior ml/ai engineer.

Malicious tool definition detected

Tool: references/mlops_production_patterns.md Description: # Mlops Production Patterns ## Overview World-class mlops production patterns for senior ml/ai engineer.

Malicious tool definition detected

Tool: references/rag_system_architecture.md Description: # Rag System Architecture ## Overview World-class rag system architecture for senior ml/ai engineer.

Malicious tool definition detected

Tool: scripts/ml_monitoring_suite.py Description: #!/usr/bin/env python3 """ Ml Monitoring Suite Production-grade tool for senior ml/ai engineer """ import os import sys import json import logging import argparse from pathlib import Path from typing import Dict, List, Optional from datetime import datetime logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s' ) logger = logging.getLogger(__name__) class MlMonitoringSuite: """Production-grade ml monitoring su

Malicious tool definition detected

Tool: scripts/model_deployment_pipeline.py Description: #!/usr/bin/env python3 """ Model Deployment Pipeline Production-grade tool for senior ml/ai engineer """ import os import sys import json import logging import argparse from pathlib import Path from typing import Dict, List, Optional from datetime import datetime logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s' ) logger = logging.getLogger(__name__) class ModelDeploymentPipeline: """Production-grad

Malicious tool definition detected

Tool: scripts/rag_system_builder.py Description: #!/usr/bin/env python3 """ Rag System Builder Production-grade tool for senior ml/ai engineer """ import os import sys import json import logging import argparse from pathlib import Path from typing import Dict, List, Optional from datetime import datetime logging.basicConfig( level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s' ) logger = logging.getLogger(__name__) class RagSystemBuilder: """Production-grade rag system builder"