senior-ml-engineer
Production-grade ML engineering expertise for deploying models, building MLOps systems, and scaling AI infrastructure.
- Covers model deployment, feature stores, monitoring, and distributed computing with PyTorch, TensorFlow, Spark, and Kubernetes
- Includes LLM integration patterns, RAG system architecture, and fine-tuning workflows using LangChain and LlamaIndex
- Provides production patterns for scalable data processing, real-time inference, A/B testing, and automated retraining pipelines
- Addresses security, compliance, performance optimization, and team leadership responsibilities for enterprise AI systems
Senior ML/AI Engineer
World-class senior ml/ai engineer skill for production-grade AI/ML/Data systems.
Quick Start
Main Capabilities
# Core Tool 1
python scripts/model_deployment_pipeline.py --input data/ --output results/
# Core Tool 2
python scripts/rag_system_builder.py --target project/ --analyze
# Core Tool 3
python scripts/ml_monitoring_suite.py --config config.yaml --deploy
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