Carousely.ai needs to reduce the cost of its AI image generation pipeline by 10x while maintaining 90-95% of the current visual quality to enable scalable production.
Requirements
- AI engineer experienced with open-source diffusion models
- Fine-tuning Stable Diffusion XL, Flux, or Playground v2.5
- Training LoRA or DreamBooth adapters for niche/persona-specific styles
- Deploying optimized models via Replicate, AWS, or custom inference endpoints
- Using ComfyUI, ControlNet, or Diffusers for template-specific edits (e.g., text overlays, background swaps)
Responsibilities
- Implement a cost-efficient image generation pipeline compatible with our JSON-based system
- Fine-tune or adapt open-source models (SDXL / Flux / LoRA / etc.) for our use case
- Optimize inference speed and cost via Replicate, AWS, or local GPU deployment
- Benchmark against GPT-image-1 in cost, quality, and consistency
- Deliver a reproducible proof-of-concept (POC) ready for production integration
Other
- full-time ML engineer for ongoing collaboration
- fill out the form
- 1:1 interview
- The entire hiring process takes less than one week
