AI Fine-Tuning Engineer vs AI Forward Deployed Engineer

A AI Fine-Tuning Engineer Only

• Deep understanding of Transformer architecture and attention mechanisms
• Mastery of parameter-efficient fine-tuning (PEFT) techniques like LoRA, QLoRA, and adapters
• Proficiency in data curation, cleaning, and formatting for instruction tuning
• Expertise in designing evaluation metrics and human evaluation frameworks
• Knowledge of distributed training strategies and memory optimization
• Ability to navigate and utilize model hubs (Hugging Face Hub, Model Garden)
• Skill in prompt engineering and chain-of-thought analysis to guide fine-tuning data creation
• Understanding of alignment techniques (RLHF, DPO) and safety considerations