Job
Description
As a highly skilled Lead Computer Vision & Gen AI Engineer with 5 years of experience, you will play a crucial role in designing and implementing diffusion models for furniture replacement in images and achieving ultra-realistic re-rendering. If you are passionate about solving challenging AI problems and creating innovative solutions in the field of computer vision and image generation, this is the perfect opportunity for you to redefine the future of virtual furniture visualization! **Key Responsibilities:** - Design, develop, and optimize diffusion models tailored for furniture detection, replacement, placement in images, and ultra-realistic rendering - Create ultra-realistic image re-rendering pipelines for seamless integration of furniture in diverse environments - Collaborate with product and design teams to understand requirements and deliver impactful AI-powered solutions - Research and implement state-of-the-art generative AI techniques for photorealistic image synthesis - Train, fine-tune, and deploy models, ensuring high accuracy and performance on large-scale datasets - Develop scalable APIs and systems to integrate model capabilities into production workflows by working closely with the DevOps Engineer **Requirements:** - **Experience:** - 3-4 years of experience in Generative AI with a focus on diffusion models - Demonstrable experience in furniture or object replacement and re-rendering using generative models - **Skills:** - Strong proficiency in frameworks like PyTorch - Expertise in fine-tuning diffusion models (e.g., Stable Diffusion, Denoising Diffusion Probabilistic Models) - Expertise in distributed training using CUDA - Solid knowledge of GANs, NeRF, or other generative models for realistic image synthesis - Familiarity with 3D rendering pipelines, textures, and lighting models - Proficiency in creating and working with large datasets and optimizing model performance - **Soft Skills:** - Strong analytical and problem-solving skills - Excellent communication and ability to explain complex ideas and model architectures clearly - A proactive and collaborative mindset for teamwork As a highly skilled Lead Computer Vision & Gen AI Engineer with 5 years of experience, you will play a crucial role in designing and implementing diffusion models for furniture replacement in images and achieving ultra-realistic re-rendering. If you are passionate about solving challenging AI problems and creating innovative solutions in the field of computer vision and image generation, this is the perfect opportunity for you to redefine the future of virtual furniture visualization! **Key Responsibilities:** - Design, develop, and optimize diffusion models tailored for furniture detection, replacement, placement in images, and ultra-realistic rendering - Create ultra-realistic image re-rendering pipelines for seamless integration of furniture in diverse environments - Collaborate with product and design teams to understand requirements and deliver impactful AI-powered solutions - Research and implement state-of-the-art generative AI techniques for photorealistic image synthesis - Train, fine-tune, and deploy models, ensuring high accuracy and performance on large-scale datasets - Develop scalable APIs and systems to integrate model capabilities into production workflows by working closely with the DevOps Engineer **Requirements:** - **Experience:** - 3-4 years of experience in Generative AI with a focus on diffusion models - Demonstrable experience in furniture or object replacement and re-rendering using generative models - **Skills:** - Strong proficiency in frameworks like PyTorch - Expertise in fine-tuning diffusion models (e.g., Stable Diffusion, Denoising Diffusion Probabilistic Models) - Expertise in distributed training using CUDA - Solid knowledge of GANs, NeRF, or other generative models for realistic image synthesis - Familiarity with 3D rendering pipelines, textures, and lighting models - Proficiency in creating and working with large datasets and optimizing model performance - **Soft Skills:** - Strong analytical and problem-solving skills - Excellent communication and ability to explain complex ideas and model architectures clearly - A proactive and collaborative mindset for teamwork
