Domäne
Machine Learning & AI
Skill-Profil
Dieser Skill definiert Erwartungen über Rollen und Level.
Rollen
2
wo dieser Skill vorkommt
Stufen
5
strukturierter Entwicklungspfad
Pflichtanforderungen
0
die anderen 10 optional
Machine Learning & AI
Deep Learning
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 |
|---|---|---|
| Data Scientist | Understands basic neural network architectures: MLP, CNN, RNN/LSTM and their applications. Knows components: layers, activations, optimizers, loss functions. Creates simple architectures in PyTorch/Keras for typical classification and regression tasks. | |
| LLM Engineer | Knows main neural network architectures: MLP, CNN, RNN, Transformer. Understands Transformer architecture specifics for language models: self-attention, positional encoding, feed-forward layers. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Designs and implements modern architectures: Transformers, U-Net, ResNet, EfficientNet. Applies attention mechanisms, skip connections, residual learning. Selects optimal architecture based on task, data, and production requirements. | |
| LLM Engineer | Independently analyzes and modifies neural network architectures for LLM tasks: adapter layers, custom attention patterns, mixture of experts. Implements architectural modifications in PyTorch. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Designs custom architectures for specific business tasks. Applies neural architecture search (NAS), progressive growing, modular design. Optimizes architectures for latency/accuracy trade-off in production deployment. | |
| LLM Engineer | Designs custom neural network architectures for LLM: efficient attention mechanisms, sparse transformers, multi-modal architectures. Conducts ablation studies to optimize architectural decisions. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Defines architectural guidelines for the team's deep learning projects. Establishes model zoo with pre-validated architectures. Coordinates research directions and evaluation of new architectural approaches for production use. | |
| LLM Engineer | Defines architectural standards for the LLM team. Establishes architecture selection guidelines, conducts architectural decision reviews, coordinates R&D on new architectures. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Shapes neural architecture development strategy for the organization. Defines research direction, evaluates state-of-the-art. Publishes research on new architectures and shapes the organization's scientific leadership. | |
| LLM Engineer | Shapes organizational architectural research strategy. Defines R&D directions for neural architectures, evaluates state-of-the-art approaches, and mentors leads on architectural design. |