Responsibilities: • The individual would be responsible for finding and implementing ML solutions to a broad scope of customer needs in a dynamic industry setting. • Track record of diving into data to discover hidden patterns • Track record of building ML or DL models in a production environment • Familiarity with using data visualization tools • Ability to present and communicate complex technical concepts to a broad audience of stakeholders • Consulting experience and track record of helping customers with their AI needs. • Experience with AWS technologies for storage, compute and ML • Demonstrable track record of dealing well with ambiguity, prioritizing needs and delivering results in a dynamic environment

Master’s degree in a highly quantitative field (Computer Science, Machine Learning, Data/Information Sciences, Statistics, Mathematics etc.,) or equivalent experience. • 2+ years of industry experience in predictive modelling, data science and analysis • 1+ years of experience deploying machine learning models in production. • 1+ years of experience using machine learning techniques such as pre-processing data, training and evaluation of classification and regression models and statistical evaluation of experimental data. • Advanced knowledge of performance, scalability and enterprise system architecture. • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing and operations. • Familiar with AWS services such as Sage Maker, EMR and S3. • Experience with deep learning frameworks such as Pytorch, TensorFlow and Keras. • Programming experience with at least one modern language such as Python, Java, C++ or C# including object-oriented design. • Clear, professional communication skills able to contribute to team discussions