Computer Vision Engineer

4 weeks ago

Dehradun India Visual Grab Entrepreneuring Full time

Job Description At Visual Grab (Miracle Eye Pvt. Ltd.), Entrepreneuring is our way of bringing intelligence to life. We believe entrepreneurship is about unlocking ideas, embracing innovation, and creating sustainable growth. Through Artificial Intelligence and Computer Vision, we empower businesses to see, sense, and respond intelligently. By merging visual intelligence with strategic insights, we help organizations innovate faster and achieve measurable impact. Every initiative is driven by intelligence and purpose, ensuring collective growth and shared success. At Visual Grab, intelligence transforms into vision bridging technology, creativity, and real-world solutions. Role Description This is an on-site internship role for a Computer Vision Engineer located in Dehradun. The intern will work on designing, training, and optimizing computer vision algorithms for real-world applications such as object detection, image segmentation, feature extraction, and visual analytics. The role involves hands-on experience in developing AI-driven perception systems, integrating models into functional pipelines, and assisting in research and development for ongoing industrial and academic projects. The intern will collaborate closely with senior engineers and researchers to build robust visual intelligence solutions that align with Visual Grab's focus on innovation and applied AI. Qualifications - Strong understanding of Computer Vision fundamentals and image processing techniques - Experience or coursework in Deep Learning frameworks (TensorFlow / PyTorch / OpenCV) - Knowledge of Object Detection, Image Classification, and Feature Engineering - Programming proficiency in Python (preferred) - Familiarity with Neural Networks, Convolutional Architectures (CNNs), and Transfer Learning - Strong analytical and problem-solving skills - Ability to work collaboratively in a team environment - Passion for applying AI to real-world vision problems - Bachelor's degree or ongoing studies in Computer Science, Engineering, or related fields preferred -

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