AI / ML Engineer - Data Modelling & Statistical Analysis

ML / AI engineer with hands-on experience of working with Time Series Data, layering of data and adopting complex parameters. At least 3-5 years of experience of working with customer data and handling ETL operations. Experience of converting machine learning models into APIs Responsibilities Create data funnels to feed into models via web, structured and unstructured data Maintain coding standards using SDLC, Git, AWS deployments etc Keep abreast of developments in the field Deploy models in production and monitor them Documentations of processes and logic Take ownership of the solution from code to deployment and performance ML / AI engineer with hands-on experience of working with Time Series Data, layering of data and adopting complex parameters. At least 3-5 years of experience of working with customer data and handling ETL operations. Experience of converting machine learning models into APIs Responsibilities Create data funnels to feed into models via web, structured and unstructured data Maintain coding standards using SDLC, Git, AWS deployments etc Keep abreast of developments in the field Deploy models in production and monitor them Documentations of processes and logic Take ownership of the solution from code to deployment and performance