Job Description
About the position Responsibilities • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation. • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. • Retrain, maintain, and monitor models in production. • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. • Construct optimized data pipelines to feed ML models. • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. • Use programming languages like Python, Scala, or Java. • Design and research new models using data scientist experience/expertise. Requirements • Bachelor's degree • At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) • At least 4 years of experience programming with Python, Scala, or Java • At least 2 years of experience building, scaling, and optimizing ML systems Nice-to-haves • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field • 3+ years of experience building production-ready data pipelines that feed ML models • 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow • 2+ years of experience developing performant, resilient, and maintainable code • 2+ years of experience with data gathering and preparation for ML models Benefits • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Apply tot his job Apply tot his job