Senior Machine Learning Engineer (Big Data)

- Design, develop, and deliver machine learning models and components that address real-world business challenges, collaborating effectively with Product and Data Science teams. - Utilize understanding of machine learning modeling techniques to inform infrastructure decisions, including model selection, data specifications, feature selection, model training, hyperparameter optimization, dimensionality, bias/variance, and validation. - Address intricate problems by writing and testing application code, developing and validating machine learning models, and automating testing and deployment processes. - Work collaboratively within a cross-functional Agile team to enhance software that supports cutting-edge big data and machine learning applications. - Ensure models in production are retrained, maintained, and monitored effectively. - Utilize or construct cloud-based architectures and technologies to deliver optimized machine learning models at scale. - Build efficient data pipelines to provide input for machine learning models. - Implement best practices in continuous integration and deployment, including test automation and monitoring, to ensure the successful launch of machine learning models and application code. - Maintain high standards for code management to minimize vulnerabilities, ensuring models are governed effectively regarding risk, and adhering to best practices in Responsible and Explainable AI. - Utilize programming languages such as Python, Scala, or Java proficiently.