We are seeking a Freelance Research Engineer specializing in advanced AI/ML techniques for image dehazing and computer vision research.
Required 2 years of experience in the same domain
This role focuses on developing, optimizing, and analyzing state-of-the-art deep learning models for image enhancement tasks, including diffusion-based methods, GAN architectures, and wavelet-based transformations.
The position is ideal for researchers and engineers with strong expertise in deep learning, optimization algorithms, and academic AI research.
Key Responsibilities
- Conduct research on multi-stream feature aggregation networks for image dehazing
- Design and develop advanced AI/ML models for image restoration and enhancement
- Implement and experiment with deep learning architectures including:
- GAN-based models
- Diffusion models
- Wavelet transform-based approaches
- Optimize model performance using advanced training and optimization techniques
- Evaluate and validate model results using standard computer vision metrics
- Collaborate with research teams to integrate novel methodologies and improvements
- Prepare technical reports and research documentation
- Develop academic-level writing to define novelty, methodology, and workflow design
Required Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence,
Data Science, or related field
- Strong background in deep learning, optimization algorithms, and computer vision
- Understanding of image processing and restoration techniques
Core Knowledge Areas
- Image dehazing and restoration techniques
- Deep learning optimization methods
- Computer vision and feature extraction
Experience Required
- Prior experience in image dehazing or similar image processing tasks
- Research experience in deep learning or computer vision projects
- Publications in reputed journals or conferences (preferred)
- Experience in implementing or experimenting with SOTA AI models
Key Skills
- Strong problem-solving and analytical thinking
- Ability to work independently on research-driven tasks
- Strong technical communication skills
- Ability to explain complex AI concepts clearly
- Experience in academic writing and research documentation