Python ML engineer with background in Stable Diffusion (SD) models in Voplica

Voplica is a startup specializing in AI models training, image generation, and image enhancement. We are seeking a Python Engineer with strong expertise in Stable Diffusion (SD) model usage for a full-time position.

Job Responsibilities:

• Build pipelines for dataset preparation, including cropping, masking, and image analysis using various models.
• Create inference processes using fine-tuned Stable Diffusion models.
• Construct pipelines for image restoration and enhancement, such as upscaling and fixing details in hands, feet, and faces.
• Develop automated model training processes that require no human oversight.
• Contribute to the kohya_ss/sd_scripts project by automating parameter tuning and improving the model training process for better quality. This includes enhancing training on non-diverse datasets, such as masked training for photo studio datasets with consistent backgrounds.
• Quickly learn and integrate new AI technologies into our projects.

Qualifications:

• Strong expertise in Python programming.
• Extensive experience with Stable Diffusion models.
• Knowledge of data structures and algorithms (Big O notation, space and time optimization, hash maps, trees, heaps).
• (preferred) SDXL hyperparameters tuning, learning rate loss analysis using tensorboard.

If you are passionate about advancing AI technology and improving image processing capabilities, we would love to hear from you.