AI Model Lead
Tasks
- Apply preference optimization
- Apply supervised fine tuning
- Balance capability cost inference constraints
- Build evaluation frameworks
- Define evaluation gates
- Design dataset and labeling standards
- Design fine tuning methodology
- Ensure dataset versioning and auditing
- Ensure reproducibility standards
- Lead AI Models Team
- Manage adapter registry promotion
- Manage production training lifecycle
- Mentor engineers
- Own LoRA adaptation strategy
- Own QLoRA adaptation strategy
- Own training configuration
- Select base models
- Set engineering standards
Perks/Benefits
Skills/Tech-stack
Dataset versioning | Deep learning | Evaluation | Experiment tracking | Fine Tuning | Language Models | Large Language Models | LoRA | Machine Learning | Model Monitoring | Preference optimization | Production Deployment | Python | QLoRA | Supervised Fine Tuning
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | Learning Engineer | Machine Learning Engineer
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