Senior Machine Learning Engineer (GenAI, Python)

- Design, build, and deliver machine learning models and components to address real-world business challenges while collaborating with Product and Data Science teams. - Utilize your knowledge of machine learning modeling techniques to inform decisions on infrastructure, including model selection, data and feature choices, model training, hyperparameter tuning, dimensionality reduction, bias/variance, and validation. - Tackle complex issues by writing and testing application code, developing and validating machine learning models, and facilitating automation of tests and deployment. - Work collaboratively as part of a cross-functional Agile team to create and enhance software that supports state-of-the-art big data and machine learning applications. - Maintain, monitor, and retrain models that are in production. - Utilize or develop cloud-based architectures and technologies to deliver optimized machine learning models quickly at scale. - Construct efficient data pipelines to support machine learning models. - Implement continuous integration and deployment best practices, including test automation and monitoring, to guarantee successful rollout of machine learning models and application code. - Ensure code management practices are in place to minimize vulnerabilities, models are governed from a risk perspective, and machine learning operations adhere to best practices in Responsible and Explainable AI. - Use programming languages such as Python, Scala, or Java to perform the above tasks.