Job Overview:
We are seeking a highly skilled and innovative AI Engineer with a strong passion for Generative AI and deep expertise in OCR, Computer Vision, Graph-based Learning, CNN, and Deep Learning. The ideal candidate will have experience in both research and implementation, especially in GPT, Diffusion Models, GANs, and related technologies. You will be instrumental in building cutting-edge AI models to power an intelligent, AI-assisted design tool.
Key Responsibilities:
- Design and develop advanced AI/ML models using:
- Text Encoding
- Diffusion Models
- StyleGAN, Latent Diffusion, Stable Diffusion
- GANs
- Develop low-compute solutions for generating high-quality flowcharts and wireframes from text-based prompts.
- Optimize model performance for real-time, interactive editing with a focus on system responsiveness and low latency.
- Implement graph-based learning to understand and structure relationships between design elements.
- Ensure outputs are flexible and exportable across formats like SVG, PNG, JSON, and code.
- Collaborate with cross-functional teams to integrate and refine interactive product features.
- Continuously improve model performance for faster inference and lightweight deployments.
- Stay updated with recent research papers and contribute ideas for new approaches and architectures.
- Contribute to the architecture, scalability, and performance of AI models in production.
Key Qualifications:
Experience:
- 25 years in AI/ML, focusing on Generative AI, Computer Vision, and Model Optimization.
Expertise:
- Strong hands-on experience with:
- OCR and Computer Vision
- Graph-based Learning
- Text-to-Image generation
- Real-time image manipulation
- GPT, DALLE, GANs, StyleGAN, Stable Diffusion
- Proven experience in:
- Building lightweight, high-performing models
- Creating interactive and modifiable AI outputs
Programming & Tools:
- Proficient in:
- Python (TensorFlow, PyTorch, OpenCV)
- Node.js
- Familiarity with:
- Cloud platforms (AWS, GCP)
- AI/ML frameworks and libraries for Computer Vision & Generative AI
Academic & Research:
- Exposure to research publications or significant project contributions in related fields is highly desirable.
Additional Skills & Attributes:
- Experience working in agile, cross-functional environments.
- Strong problem-solving skills and the ability to navigate complex technical challenges.
- Passion for Generative AI, with a strong drive for continuous learning and innovation.
- Analytical mindset and creative approach to AI-based design problems.
