Karan outlines AI/ML interview must‑knows

- Karan posted a practical breakdown of AI/ML interview realities emphasizing easy-to-medium LeetCode, system design, MLOps fundamentals, and end-to-end projects with Docker and Kubernetes. - Ritesh added agent infra must-knows (reasoning engines, vector DBs, orchestration, vLLM serving) while Jahir called out backend seniority skills like SQL optimization, Redis caching and Kafka queues. - The trio signals interviewers now expect hybrid skills across ML, infra, and backend engineering for platform and regulated-industry roles. (x.com) (x.com) (x.com)