AI Model Lead
Tasks
- Apply preference optimization
- Apply supervised fine tuning
- Build evaluation frameworks with domain experts
- Define labeling standards and data versioning
- Design and construct datasets
- Design end to end fine tuning methodology
- Lead AI Models Team and set engineering standards
- Manage production training and adapter lifecycle
- Own LoRA and QLoRA adaptation strategy
- Select base models for domain tasks
Perks/Benefits
Skills/Tech-stack
Dataset versioning | Distributed Training | Experiment tracking | Fine Tuning | Language Processing | LoRA | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Preference optimization | Python | QLoRA | Supervised Fine Tuning | Supervised Learning
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Machine Learning Team Lead | Team Lead
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