Computer Vision Engineer

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