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Mid-level Data Scientist title, metro location, broad skillset, and a strong analytics brand increase competition.
Computer vision and MLOps skills are transferable across industries but require domain adaptation.
Explicit 3-8 years, required computer vision experience, and mandatory ML frameworks make shortlisting stringent.
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Design, develop, optimize, and deploy computer vision AI/ML models including image classification, object detection, and segmentation.
Manage and preprocess large-scale image and video datasets; build data pipelines for training and deployment.
Collaborate with engineering and product teams to integrate AI solutions and monitor model performance in production environments using MLOps practices.
3-8 years of experience in Data Science with a focus on Computer Vision and AI.
Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Hands-on experience with OpenCV, image processing, and ML model evaluation methods.
Location requirement: Bengaluru. Work Experience Required: 3-8 years.
Experienced in building and deploying scalable AI models using MLOps in cloud or production environments.
Strong background in deep learning for computer vision tasks and managing large image/video datasets.
Capable of working cross-functionally with product and engineering teams to deliver business-focused AI applications.