Domäne
Machine Learning & AI
Skill-Profil
Dieser Skill definiert Erwartungen über Rollen und Level.
Rollen
1
wo dieser Skill vorkommt
Stufen
5
strukturierter Entwicklungspfad
Pflichtanforderungen
0
die anderen 5 optional
Machine Learning & AI
LLM & Generative AI
22.2.2026
Wählen Sie Ihr aktuelles Level und vergleichen Sie die Erwartungen.
Die Tabelle zeigt, wie die Tiefe von Junior bis Principal wächst.
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| LLM Engineer | Knows basic LLM scaling concepts: scaling laws, compute-optimal training, emergent abilities. Understands trade-offs between model size and computational resources for different tasks. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| LLM Engineer | Independently plans scaling strategies: compute budget calculation using scaling laws, model size vs data size selection. Optimizes training and inference costs for 7B-13B parameter models. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| LLM Engineer | Designs scaling strategy for large LLM: multi-stage scaling plans, Chinchilla-optimal training, progressive training. Optimizes balance between model quality, training cost, and inference latency. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| LLM Engineer | Defines scaling standards for the LLM team. Establishes guidelines for compute budgeting, model size selection, cost-benefit analysis. Coordinates scaling decisions for multiple products. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| LLM Engineer | Shapes enterprise LLM scaling strategy. Defines long-term compute strategy, cloud provider partnerships, and hardware planning. Ensures optimal scaling decisions at organizational level. |