Experience: 5+ years

Requirements

• Master’s degree in Computer Science, Data Science, and Machine Learning or in related fields preferred but candidates with Bachelor’s degree in computer science are also welcome to apply provided they have a strong technical knowledge and experience in computer vision
• At least 5+ years of experience in computer vision, deep learning algorithms for text image processing, object detection
• Understanding about the depth & breadth of computer vision and deep learning algorithms
• Experience in machine/deep learning frameworks like Tensorflow, Keras & Pytorch
• Experience in applying CV techniques to handle noise reduction, grey scaling, alignment issues, pixels boost up etc. on unstructured images, poor quality images
• Strong python usage of open source libraries
• Strong experience in using both basic and advanced image processing algorithms for feature engineering
• Proficiency in Python and related packages like Numpy, Scikit image, PIL, OpenCV, Matplotlib, Seaborn etc.
• Excellent written and verbal communication skills for effective communication with the team and ability to present information to technical and non-technical stake holders

Roles & Responsibilities

• Ability to transform research articles/whitepapers into the working solutions to solve real world image improvisation problems
• Explore and analyze unstructured data like images through image processing
• Take ownership to drive computer vision solutions and meet BRD requirements
• Deploying developed computer vision solutions as per the requirements and maintain them to improve further
• Self-starter in Agile development and scrum methodologies to develop efficient, maintainable, readable and production ready pipe lines