Cngupin

We are seeking an experienced Computer Vision Specialist to design and develop an AI-driven image processing tool focused on detail enhancement in photographs . The ideal candidate will combine expertise in AI, machine learning, and computer vision to deliver cutting-edge enhancement solutions and build a seamless user-friendly interface. Key Responsibilities Design, train, and deploy AI/ML models for photographic detail enhancement . Research and implement advanced computer vision techniques for image quality improvement across different photographic styles and subjects. Optimize algorithms for performance, scalability, and real-time processing. Integrate AI models into a user-friendly application interface. Collaborate with cross-functional teams (UI/UX, product, QA) to ensure seamless functionality. Continuously monitor, test, and improve enhancement models using diverse datasets. Requirements Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field . Proven experience in computer vision and image processing projects . Strong proficiency in Python and relevant libraries/frameworks (e.g., TensorFlow, PyTorch, OpenCV, scikit-image). Experience with deep learning models (CNNs, GANs, Diffusion models) applied to images. Solid understanding of image enhancement techniques (denoising, super-resolution, HDR, sharpening, etc.). Knowledge of optimization for real-time image processing . Familiarity with UI integration (e.g., PyQt, Flask/Django for web, or other GUI frameworks). Preferred Skills Experience with GANs or Diffusion-based models for photorealistic enhancements. Hands-on experience with GPU acceleration (CUDA, TensorRT). Familiarity with cloud deployment (AWS, GCP, Azure). Strong problem-solving and analytical skills. Ability to work independently and in a team-oriented environment. Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Benefits: Provident Fund Application Question(s): Notice Period Experience: total work: 2 years (Preferred) Computer vision: 2 years (Preferred) Image processing: 2 years (Preferred) Work Location: In person