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Remote opportunity plus mid-level ML experience and metro context create moderate applicant competition.
Computer vision ML skills transfer across industries yet remain moderately specialized and domain-dependent.
Explicit 1-4 years requirement plus mandatory PyTorch/TensorFlow and computer vision expertise increases filter strictness.
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Design, develop, and deploy computer vision models for real-world applications including image processing, object detection, segmentation, and recognition.
Optimize and fine-tune models using PyTorch and TensorFlow for production-level AI systems.
Analyze large-scale datasets to improve model performance and collaborate with cross-functional teams to 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.
Proficient in Python and experienced with PyTorch and TensorFlow frameworks.
Familiarity with OpenCV-python, Pillow, scikit-learn, and version control systems like Git.
Experienced in implementing core computer vision algorithms (object detection, image classification, segmentation).
Capable of creating scalable, production-level AI solutions and comfortable working cross-functionally.
Strong mathematical foundation in linear algebra, probability/statistics, and calculus applied to ML and computer vision problems.