← Voltar para o catálogo
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integr
Ver no GitHub ↗
Copiar URL do repo
Copiar link do SKILL.md Licença: MIT
Como adicionar
Copiar comando
/plugin marketplace add timdevai/proteus
O comando exato pode variar conforme o repositório. Confira o README no GitHub.
Para o autor da skill
Cole no README do seu repo
Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.
[](https://www.skillteca.com.br/skills/senior-ml-engineer-timdevai)
Copiar snippet
Alerta por categoria
1 email curto, só com as skills novas de DevOps e Infra. 4 minutos de leitura, sem spam, cancela com 1 clique.
Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.
Ler descrição completa Recolher descrição Senior ML Engineer
Production ML engineering patterns for model deployment, MLOps infrastructure, and LLM integration.
Table of Contents
[Model Deployment Workflow](#model-deployment-workflow) [MLOps Pipeline Setup](#mlops-pipeline-setup) [LLM Integration Workflow](#llm-integration-workflow) [RAG System Implementation](#rag-system-implementation) [Model Monitoring](#model-monitoring) [Reference Documentation](#reference-documentation) [Tools](#tools) Model Dep
[Description truncada. Veja o README completo no GitHub.]
Compartilhar
X
LinkedIn
Copiar link
