VNGGames

Overview of job

• Research and apply ML/DL algorithms to enhance game AI and computer vision-based systems. 
• Partner with artists and designers to develop and optimize real-time vision-based AI models for object detection, tracking, and scene understanding that can streamline workflows (e.g., auto-generating textures, simplifying 3D object tagging, or enhancing concept art iteration).
• Propose, prototype, and deploy lightweight AI/CV tools that integrate seamlessly into existing production pipelines (Unreal/Unity, Blender, etc.).
• Optimize and deploy AI solutions using Nvidia frameworks (Deepstream, Triton Inference Server, etc.) and cloud platforms.
• Prioritize "quick wins" over theoretical perfection—balance innovation with project deadlines to deliver immediate value.
• Work with engineers to optimize AI models for real-time performance, ensuring tools don’t disrupt creative workflows.
• Communicate clearly and directly with non-technical teams: translate AI jargon into actionable steps and realistic

Fantastic working environment

• 3+ years of hands-on experience in developing and deploying AI models. 
• Proven track record of AI-powered products, published research, or real-world applications. 
• Bachelor's degree in Computer Science, Information Technology, or related fields. 
• Strong expertise in Python and backend development (Django or other frameworks). 
• Deep knowledge of ML/DL frameworks like TensorFlow, PyTorch, MXNet, Pandas, PySpark. 
• Hands-on experience with computer vision AI, including image/video processing, object tracking, and recognition. 
• Nice-to-Have Experience with Stable Diffusion for AI-generated content. 
• Experience in cloud-based AI model deployment at scale.