# Model Tuning

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/model-tuning

The process of adjusting a machine learning model's hyperparameters (such as learning rate, batch size, or regularization strength) or fine-tuning a pretrained model's weights on new data to improve its performance on a target task. Data scientists and ML engineers use techniques like grid search, random search, or Bayesian optimization, and increasingly fine-tune large language models on domain-specific datasets to specialize their behavior. It is a key step for adapting general-purpose models to specific business needs.

Related skills: [Fine-tuning](https://career.thegoodapps.co/skills/fine-tuning), [Transfer Learning](https://career.thegoodapps.co/skills/transfer-learning), [Model Training](https://career.thegoodapps.co/skills/model-training), [Model Evaluation](https://career.thegoodapps.co/skills/model-evaluation)

## Open roles requiring Model Tuning (0)

None of the roles we have read name this skill yet. A large share of the visible corpus has not been parsed for skills, so this is at least as likely to be our backlog as the market's verdict.