AI Engineer

Role involves fine-tuning state-of-the-art models and design evaluation frameworks to bring AI features into production. The work ensures models are intelligent, safe, trustworthy, and impactful at scale. Responsibilities include training and customizing diffusion models using techniques such as LoRA and DreamBooth. Building and annotating large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation is required. One must develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs. Applying GPU memory optimization and distributed training for efficient scaling. Also, shipping diffusion-powered features into production with monitoring, and collaborate with product and design teams.