Artificial Intelligence /ML/AI / Engineer Data Science Bulk Hiring

Role & responsibilities Design machine learning systems Research and implement machine learning algorithms and tools Manage and direct research and development processes to meet the needs of our AI strategy Develop machine learning applications in alignment with project requirements and business goals Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems Select appropriate datasets and data representation methods Extend existing machine learning libraries and frameworks Train systems and retrain as necessary Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions Advise leaders on technology, strategy, and policy issues related to AI/ML AI and computer science more broadly can be seen as a way of solving problems. From small ones such as which piece of code to feed into an AI, to finding automated solutions to global education or health issues . No matter what career route you choose, developing an analytical mind will take you far in Artificial Intelligence and honing those skills will take practice. Throughout the course you’ll be encouraged to do just that. During your dissertation project you’ll have the opportunity to apply your knowledge and improve your problem solving capabilities during a substantial piece of independent research. Preferred candidate profile Knowledge of basic algorithms and object-oriented and functional design principles Knowledge of data structures, data modeling, and software architecture Knowledge of math, probability, statistics, and algorithms Knowledge of machine learning frameworks such as Keras and PyTorch Knowledge of machine learning libraries such as scikit-learn