What to Expect:
We are seeking a skilled and creative ML Ops Engineer to join our team. As an ML Ops Engineer you will be responsible for utilizing open-source diffusion image generation models to develop high-quality and visually appealing photorealistic images that incorporate the cosmetic medical procedure results. You’ll work alongside our passionate team to help us build our core image generation pipelines for cosmetic procedure simulations. We plan to combine existing libraries with a manual process to implement the solution, leveraging open-source solutions like Stable Diffusion, ControlNet, Dream Booth, and LORA.
We are looking for a candidate with strong with interests in genAI image generation. As part of this role, you will be building the AI workflow for our image generation tool, which utilizes generative AI and computer vision to simulate the post-cosmetic surgery appearance of users — a “try-on” experience for beauty procedures.
Responsibilities:
Qualifications:
Preferred Qualifications:
Join our dynamic team and contribute to cutting-edge advancements in photorealistic image generation. If you are passionate about deep learning and have a keen eye for visual aesthetics, we look forward to receiving your application.
Company Description
Ponce.ai lets anyone create aesthetic treatment simulations with AI. The product let’s interested customers see highly realistic simulations from a single image. The Ai-generated simulation images give the prospective customer a vivid picture of how they would look after getting the procedure — instantly and without any provider involvement.
Ponce.ai lets anyone create aesthetic treatment simulations with AI. The product let’s interested customers see highly realistic simulations from a single image. The Ai-generated simulation images give the prospective customer a vivid picture of how they would look after getting the procedure — instantly and without any provider involvement.
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