Lead Generative AI Visuals Engineer

ROLE OVERVIEW

We are seeking a highly skilled Senior Generative AI Engineer who can drive the development, optimization, and deployment of cutting-edge image and video generative models. You will work across the full AI lifecycle—data preparation, model training, experimentation, optimization, and evaluation - using state-of-the-art deep learning frameworks and large-scale GPU clusters. This role requires expertise in advanced generative architectures, distributed training, and building production-ready visual AI systems.

KEY ROLES

• Design and implement advanced image and video generative architectures including Diffusion Models, GANs, VAEs, latent video models, and transformer-based visual generation systems.
• Architect and optimize large-scale distributed training pipelines across GPU clusters for training state-of-the-art visual generative models.
• Research and prototype next-generation architectures such as Sora-like models, video LDMs, Flow Matching, and autoregressive vision models.
• Develop and enhance data engineering pipelines for large-scale image, video, and multimodal dataset processing with advanced filtering and quality control.
• Build comprehensive model evaluation frameworks for visual quality assessment, temporal consistency, and safety compliance.
• Optimize training efficiency using advanced techniques like mixed precision, gradient checkpointing, and memory-efficient attention mechanisms.
• Conduct frontier AI research focusing on fidelity improvements, temporal consistency, and long-duration video generation capabilities.
• Collaborate with cross-functional teams to integrate generative models into production visual AI applications.

RESPONSIBLITIES

REQUIRED QUALIFICATIONS

NOTE - We accept International applicants also