Data scientist to AI engineer: the evolving skill stack, from stats to agents
mdancho84 · x · 2026-09-09
A roadmap for data scientists transitioning to AI engineers: build on existing skills rather than starting over. The stack spans statistics & probability, computer science fundamentals, classical ML, LLMs & generative AI (transformers, embeddings, RAG, fine-tuning, evaluation), and AI agents & systems — designing workflows where models reason, use tools, call APIs, and complete multi-step tasks.
More from Companies & People
- Stealth mode is dying: founders stop sharing ideas because they're too easy to copy — deliprao · 2026-09-09
- StepFun heads to AGNTCon + MCPCon Japan (Sept 10-11, Tokyo) at booth T6 — StepFun_ai · 2026-09-09
- DeepSeek's official X account called out for ignoring its own price cuts and releases — teortaxesTex · 2026-09-09
- Sarvam AI and IDFC FIRST Bank Launch Joint Lab to Build a Self-Improving Bank — itsOmSarraf_ · 2026-09-09
- Distillation as IP theft vector: legal language frames a legitimate training technique as a weapon for rivals — Xianbao_QIAN · 2026-09-09
- DeepSeek Opens ~150 Engineering Roles, Zero Research Positions as Race Shifts to Systems — pstAsiatech · 2026-09-09