Generative AI Engineer
Description
We are seeking a Generative AI Specialist with expertise in diffusion-based models (Flux, SD) and hands-on experience in workflows development in Comfy, model/LORA training, and experimentation.
Key Responsibilities:
- Develop and optimize workflows using tools like Comfy-UI and Swarm-UI.
- Work extensively with models such as Flux dev, Flux schnell, Stable Diffusion (XL, 3, 3.5), and controlnets.
- Perform LORA training, focusing on objects, with in-depth experimentation on training parameters.
- Train and fine-tune diffusion-based models, leveraging tools (like kohya-ss), python code and libraries like PyTorch, Diffusers, and Accelerate.
Requirements
- Technical Skills:
- Proficiency with Comfy-UI, Swarm-UI, and model customization.
- Deep experience in LORA training and experimentation with Kohya-ss
- Strong Python programming skills.
- Ability to design and train required AI models.
- Expertise in working with Diffusion models and libraries such as PyTorch, Diffusers, and Accelerate.
- Ability to utilize Controlnets, inpainting, Image2Image, to achieve high quality results + other diffusion based techologies/methods
- Strong knowledge of Linux based system
- Experience:
- Proven track record in developing and deploying AI models, training LORAS, designing workflows in comfy.
- Willingness to work in a fast-paced environment.
Preferred Qualifications (Optional):
- Knowledge of deploying Generative AI solutions.
- Experience with Docker and containerization.
- Familiarity with cloud platforms like AWS and Google Cloud.
- Understanding of Replicate for model deployment.
Benefits
- Fully Remote Position.
- Extra bonuses may be applicable.