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Mid-level range, metro location, and recognizable analytics brand increase candidate competition.
Computer vision skills transfer across industries but domain experience helps, so sensitivity is medium.
Explicit 3-8 years plus mandatory CV, deep learning, and MLOps skills enforce strict screening.
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Design, develop, fine-tune, and deploy scalable AI/ML computer vision models including image classification, object detection, and segmentation.
Manage and process large-scale image and video datasets; develop data preprocessing and post-processing pipelines.
Collaborate cross-functionally to integrate AI solutions, monitor model performance, and follow software development and MLOps best practices for production deployment.
3-8 years of work experience in computer vision, AI, or related fields.
Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Experience with image processing techniques (OpenCV), computer vision tasks (classification, detection, segmentation), and model evaluation.
Familiarity with software development practices (Git, version control) and MLOps concepts including production deployment.
Experienced in building and scaling computer vision models in production with strong technical ownership and accountability.
Comfortable working with large, complex image/video datasets and tuning models for performance optimization.
Able to collaborate effectively with engineering, product, and business teams in a fast-paced environment to deliver measurable AI applications.