MLOps Engineer
Automating the ML model lifecycle: from training to production monitoring
MLOps Engineer是ML & AI Engineering族群中的角色。涵盖5个级别的56项技能（从Junior到Principal）。其中123项为必备技能。关键领域：Programming Fundamentals, Backend Development, Database Management。
技术栈
各级别重点
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.
技能矩阵
56 技能 × 5 级别. 点击单元格查看详情。
AI-Assisted Development
4 技能| 技能 | 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 技能| 技能 | 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 技能| 技能 | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| System Design Fundamentals | A | W | A | E | E |
Backend Development
5 技能| 技能 | 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 技能| 技能 | 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 技能| 技能 | 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 技能| 技能 | 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 技能| 技能 | 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 技能| 技能 | 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 技能| 技能 | 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 技能| 技能 | 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 技能| 技能 | 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 技能| 技能 | Jun | Mid | Sen | Lead | Princ |
|---|---|---|---|---|---|
| Git Advanced | A | W | A | E | E |
| Code Review | A | W | A | E | E |
常见问题
MLOps Engineer角色需要哪些技能？
MLOps Engineer角色需要56项技能，其中123项为必备。技能分布在5个级别：从Junior到Principal。 查看完整矩阵.
如何在MLOps Engineer角色中晋升到下一级别？
使用等级计算器评估您当前的级别并获取个性化建议。系统将显示晋升所需发展的技能。
MLOps Engineer角色使用什么技术栈？
技术栈包含5种不同级别的技术。 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...
社区如何定义MLOps Engineer角色的要求？
角色要求由社区通过提案系统制定。任何成员都可以提出修改建议，经过投票和专家评审后生效。