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Remote role, popular AI/CV title, and broad skill requirements increase candidate competition.
Specialized computer vision and ML skills create high industry-specific background sensitivity.
Explicit 1–4 years plus mandatory Python, PyTorch/TensorFlow imply medium strictness.
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Design, develop, and deploy computer vision models using machine learning algorithms for real-world image processing tasks such as object detection, segmentation, and recognition.
Optimize and fine-tune AI models with frameworks like PyTorch and TensorFlow, maintaining scalable production-level code.
Collaborate with cross-functional teams and analyze large datasets to improve model performance and deliver efficient AI solutions.
1-4 years of hands-on experience in computer vision and machine learning.
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field.
Proficiency in Python programming with strong object-oriented and scripting skills.
Experience with PyTorch, TensorFlow, OpenCV-python, Pillow, and scikit-learn libraries.
Strong practical experience implementing computer vision algorithms including object detection, image classification, and segmentation.
Experienced in working with large-scale datasets and integrating models into production environments.
Familiar with version control (Git) and has exposure to edge/cloud model deployment and deep learning architectures (CNNs, RNNs, GANs) to enhance model inference.