MLEngineer 2026 — all layers, topics, and resources

MLEngineer
Skills for AI + ML Engineer
CORE APPLIED INTERVIEW DEPTH NEW
Minimum Viable Profile

6–8 months — must have shipped:

  • RAG system on real docs with Recall@5 + faithfulness eval · GitHub with README
  • 7B model fine-tuned via QLoRA on specific task · before/after eval · HuggingFace
  • Agentic app (customer support / doc Q&A with tools) · deployed & accessible
  • SQL: solve medium LeetCode SQL in <15 min
  • FastAPI endpoint with pytest tests

global roles 12–15 months — additionally:

  • Can implement any Layer 3–5 paper from scratch
  • Designed AI system end-to-end with cost + latency estimates
  • Run a real A/B test with proper statistical methodology
  • Deployed vLLM/FastAPI+GPU serving under real traffic
  • CI/CD eval harness — promptfoo + RAGAS on every PR
  • Knows prompt injection vectors and can design mitigations
  • Opinions on model choice backed by benchmark evidence