* Responsible too analyse large, complex data set to extract insights and decide on the appropriate technique * manage the infrastructure and pipeline needed to bring code to production * research and implement best practices to improve the existing machine learning/deep learning architecture and infrastructure * build algorithms based on statistical modelling or Deep Neural Networks * build and maintain saleable machine learning or deep learning solutions in production based on MLOps * provide support to engineers and product managers in implementing machine learning in the products

* apply machine learning and deep learning models to find the best fit one * actively involves in implementing new algorithm and techniques to increase the model efficiency *use data modelling and evaluation strategy to find patterns and predict unseen instances * Involved in Data Collection, Annotation