Computer Vision Engineer

As a Computer Vision Specialist at our company, you will be responsible for designing and developing an AI-driven image processing tool specifically focused on detail enhancement in photographs. Your expertise in AI, machine learning, and computer vision will be crucial in delivering cutting-edge enhancement solutions and creating 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 improving image quality across various 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 enhance models using diverse datasets. Qualifications Required: - Bachelors/Masters 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. In addition to the outlined responsibilities and qualifications, the position offers full-time, permanent employment with benefits such as Provident Fund. Please be prepared to discuss your notice period during the application process. The work location is in person. Experience in total work: 2 years (Preferred) Experience in computer vision: 2 years (Preferred) Experience in image processing: 2 years (Preferred),