Cloudflare
Mid
Own end-to-end ML pipelines behind Cloudflare's internal AI agents and chatbots
Cloudflare's Data Intelligence & Analytics org is hiring an ML Engineer in Bengaluru to build and operate the pipelines behind internal AI-driven applications, agents, and chatbots used by GTM, engineering, and product teams. Expect deep questions on MLOps (Kubernetes, Airflow/Argo), full-stack delivery of ML services, and pragmatic GenAI/LLM integration work (vector databases, Workers AI, LangChain/LangGraph).
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- MLOps on Kubernetes (deploy/manage/support ML services)
- End-to-end ownership: requirements to deployment to observability
- Scientific computing in Python (scikit-learn, PyTorch/TensorFlow)
- LLM/GenAI application building (LangChain/LangGraph, vector DBs)
- Full-stack delivery across Python/React/TypeScript
- Cross-functional partnership with Data Scientists/Engineers
常见提问方向
Describe an ML application you deployed and operated on Kubernetes end-to-end
How do you approach MLOps tooling decisions (Airflow, Argo, CI/CD)
Tell me about a GenAI/LLM-powered agent or chatbot you built in production
How have you worked with Data Scientists to ship a model from training to inference?
How do you design for scale, reliability, and observability in a distributed data platform
How have you influenced architecture or mentored engineers on your team
相关面试
Cloudflare
Senior
Senior Solutions Engineer, Majors, Philadelphia or Pittsburgh
Cloudflare
Senior
Senior Data Scientist
Cloudflare
Senior
Senior Product Manager, Ad Fraud and Identity Solutions
Twilio
Senior
Staff Machine Learning Engineer (L4)
Associate
Software Engineer
Mid