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