* Work on end to end data science lifecycle. from building proof of concept models to production-ready models & work with engineers to deploy them to production * Execute and take ownership of deep learning projects end-to-end. Good exposure to various deep learning algorithms and framework Should be able to effortlessly switch between roles of an individual contributor, team member, and data science manager as demanded by each project * Figure out gaps in existing products and add intelligence to improve it. * Designing the frameworks in data sciences (R, Python, Azure ML, AWS ML, Google ML, Spark etc) to be used in relevant projects Keep updated on latest research in AI and deep learning and find ways in which it can be used to solve business problems Must be able to read research papers (some novel architectures, training techniques etc and be able to implement it fully to solve our specific problem