KEY EXPECTED ACHIEVEMENTS

• Contribute to development deep learning based computer vision models.
• Collect, analyze, review, clean, organize document image datasets efficiently / programmatically
• Transform images using opencv library, develop scripts to process annotation data/files
• Customize standard deep learning based computer vision models for object/keypoing detection/segmentation (using python keras/tensorflow/pytorch)
• Train models systematically with clear rationale behind approach used
• Tune hyperparameters and loss functions
• Track training experiments and evaluate compare models objectively
• Leverage other machine learning approaches like clustering, regression, classification to solve sub-problems
• Review, refactor, optimize for speed/efficiency and check-in code frequently
• Capture detailed documentation of data, models, application architecture, steps to execute code.
• Manage datasets and deploy models inferencing pipelines on Azure cloud for scaling in production