Job Description Education and Work Experience Requirements: 6 to 8 years of Data Science experience. Ability define and interpret model's performance objectively through standard metrics. Experience implementing responsible ai and Explainability on image based ML problems in building explainable AI framework.. Ability to apply techniques like -GradCams, Segmentations, LIME, SHAP, Attention masks, Augmentation for Explainability of outcomes.. Algorithmic fairness evaluation of CV models Understanding of Responsible AI frameworks and MLOps - model performance, data drift, concept drift, label drift.. Strong oops and python clean code practices. Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits. Expertise with one of the following DL frameworks Tensorflow, Keras, Caffe, Pytorch. Good knowledge of advanced statistical methods Proficient in OpenCV - and image processing stacks. Should have experience in development and deployment of machine learning models in cloud (Azure/AWS) Good knowledge of Computer vision algorithms and hands-on experience in Opencv, Machine learning and deep learning for Vision data.. Proactively research, identify and develop new metrics in field of Responsible AI Good to have skills : Knowledge in Python packaging and containers - like Dockerization Knowledge in Cloud development - AWS/Azure Knowledge in DevOps CI/CD pipelines Qualifications BE,Btech or MCA Additional Information 6-8 years
