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Mid-level CV/ML role in Bengaluru with some specialization reduces but doesn't eliminate applicant density.
Computer vision specialization and deep learning focus make skills less transferable across unrelated industries.
Explicit 3-8 year range plus mandatory deep learning, CV frameworks, and MLOps skills create strict filters.
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Design, develop, fine-tune, and deploy scalable AI/machine learning models focused on computer vision tasks such as image classification, object detection, and segmentation.
Manage and preprocess large-scale image and video datasets including annotation and pipeline development.
Collaborate with cross-functional teams to integrate AI solutions and ensure production deployment using MLOps and cloud practices.
3-8 years of professional experience as a Data Scientist or in a similar AI/Computer Vision role.
Strong proficiency in Python and hands-on experience with computer vision and deep learning frameworks like PyTorch, TensorFlow, or Keras.
Experience with image processing techniques using OpenCV and developing models for image classification, object detection, and segmentation.
Familiarity with software development practices including version control (Git) and understanding of MLOps and production cloud deployment concepts.
Work Location: Bengaluru
Experienced in building and deploying deep learning computer vision models in production environments with knowledge of MLOps and cloud platforms.
Comfortable working with large multimedia datasets and skilled in data annotation and pipeline development to support model training and evaluation.
Capable of cross-functional collaboration to translate AI research into business-focused applications and follow software development best practices for robust AI solutions.