Senior Machine Learning Engineer - Enterprise Platforms

- Collaborate within an Agile team to design, develop, and implement machine learning applications at scale - Create, build, and deliver machine learning models and components that address practical business challenges, working alongside Product and Data Science teams - Make informed decisions regarding machine learning infrastructure based on understanding of modeling techniques, including model selection, data and feature selection, training, hyperparameter tuning, bias/variance, and validation - Tackle intricate problems by writing and testing application code, developing and validating machine learning models, and automating tests and deployments - Work with a cross-functional Agile team to enhance software that supports advanced big data and machine learning applications - Monitor, maintain, and retrain models in production environments - Utilize or build cloud-based architectures and technologies to optimize machine learning models at scale - Develop optimized data pipelines to feed into machine learning models - Apply best practices in continuous integration and continuous deployment, including test automation and monitoring, to ensure successful implementation of machine learning models and application code - Ensure that all code is managed to minimize vulnerabilities, models are governed effectively from a risk standpoint, and machine learning conforms to best practices in Responsible and Explainable AI - Use programming languages such as Python, Scala, or Java