MLOps Engineer
Automating the ML model lifecycle: from training to production monitoring
MLOps Engineer es un rol en la familia ML & AI Engineering. Tiene 56 habilidades en 5 niveles (de Junior a Principal). 123 habilidades son obligatorias. Dominios clave: Programming Fundamentals, Backend Development, Database Management.
Stack tecnológico
Enfoque por nivel
Setting up ML pipelines. Working with MLflow/DVC. Containerizing models. Monitoring inference. Automating routine tasks.
Designing CI/CD for ML. Setting up feature store. Automating training and deployment. Drift monitoring. GPU cluster management.
MLOps platform architecture. Inference optimization (Triton, ONNX). Real-time serving. GPU autoscaling. Cost optimization.
MLOps platform strategy. ML lifecycle standards. Coordination with ML and backend teams. Vendor evaluation.
Enterprise MLOps architecture. Multi-cloud ML infrastructure. LLM deployment strategy. Industry best practices.
Matriz de habilidades
56 habilidades × 5 niveles. Haga clic en una celda para ver detalles.
AI-Assisted Development
4 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| GitHub Copilot | A | W | A | E | E |
| Cursor IDE | A | W | A | E | E |
| ChatGPT / Claude | A | W | A | E | E |
| Prompt Engineering for Code | A | W | A | E | E |
API & Integration
4 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| REST API Design | A | W | A | E | E |
| GraphQL Design | A | W | A | E | E |
| gRPC & Protocol Buffers | A | W | A | E | E |
| API Documentation | A | W | A | E | E |
Architecture & System Design
1 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| System Design Fundamentals | A | W | A | E | E |
Backend Development
5 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| Python Web Frameworks | A | W | A | E | E |
| Apache Kafka | A | W | A | E | E |
| Redis | A | W | A | E | E |
| Task Queues | A | W | A | E | E |
| S3 / Object Storage | A | W | A | E | E |
Cloud & Infrastructure
8 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| Docker | A | W | A | E | E |
| Container Security Scanning | A | W | A | E | E |
| Kubernetes Core | A | W | A | E | E |
| Kubernetes Advanced | A | W | A | E | E |
| Helm | A | W | A | E | E |
| Terraform | A | W | A | E | E |
| AWS | A | W | A | E | E |
| Network Fundamentals | A | W | A | E | E |
Database Management
3 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| PostgreSQL | A | W | A | E | E |
| Database Indexing | A | W | A | E | E |
| Query Optimization | A | W | A | E | E |
DevOps & CI/CD
3 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| GitHub Actions / GitLab CI | A | W | A | E | E |
| GitLab CI/CD Advanced | A | W | A | E | E |
| ArgoCD | A | W | A | E | E |
Machine Learning & AI
6 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| MLflow | A | W | A | E | E |
| Feature Stores | A | W | A | E | E |
| Model Serving | A | W | A | E | E |
| Experiment Tracking | A | W | A | E | E |
| ML Pipelines | A | W | A | E | E |
| Model Monitoring | A | W | A | E | E |
Observability & Monitoring
5 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| Structured Logging | A | W | A | E | E |
| Prometheus & Grafana | A | W | A | E | E |
| Custom Business Metrics | A | W | A | E | E |
| OpenTelemetry | A | W | A | E | E |
| SLI / SLO / SLA | A | W | A | E | E |
Programming Fundamentals
8 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| Algorithms & Complexity | A | W | A | E | E |
| Data Structures | A | W | A | E | E |
| OOP & SOLID Principles | A | W | A | E | E |
| Design Patterns | A | W | A | E | E |
| Multithreading | A | W | A | E | E |
| Async Programming | A | W | A | E | E |
| Code Quality & Refactoring | A | W | A | E | E |
| Type Safety & Type Systems | A | W | A | E | E |
Security
3 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| OWASP & Application Security | A | W | A | E | E |
| Secure Coding Practices | A | W | A | E | E |
| JWT / OAuth2 / OIDC | A | W | A | E | E |
Testing & QA
4 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| Unit Testing | A | W | A | E | E |
| Integration Testing | A | W | A | E | E |
| E2E Testing | A | W | A | E | E |
| Load Testing | A | W | A | E | E |
Version Control & Collaboration
2 habilidades| Habilidades | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| Git Advanced | A | W | A | E | E |
| Code Review | A | W | A | E | E |
Preguntas frecuentes
¿Qué habilidades se necesitan para el rol de MLOps Engineer?
El rol de MLOps Engineer requiere 56 habilidades, de las cuales 123 son obligatorias. Las habilidades se distribuyen en 5 niveles: de Junior a Principal. Ver matriz completa.
¿Cómo avanzar al siguiente nivel en el rol de MLOps Engineer?
Use la Calculadora de grado para evaluar su nivel actual y obtener recomendaciones personalizadas.
¿Qué stack tecnológico se usa en el rol de MLOps Engineer?
El stack incluye 5 tecnologías en diferentes niveles. Python, MLflow, DVC, Docker, Airflow basics, Kubernetes basics, Git, Prometheus basics, Python, Kubeflow/MLflow, Docker/Kubernetes, Airflow, Feature Store (Feast), Seldon/BentoML, Terraform, GitHub Actions, Kubeflow/Vertex AI, Triton Inference Server, ONNX/TensorRT, Kubernetes (GPU scheduling), Ray Serve, Custom operators, Prometheus/Grafana...
¿Cómo define la comunidad los requisitos para el rol de MLOps Engineer?
Los requisitos del rol son definidos por la comunidad a través de un sistema de propuestas. Cualquier miembro puede sugerir cambios que pasan por votación y revisión de expertos.