Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.
Requirements
- Proficiency in Python, with experience building, scaling, and optimizing ML systems
- Fluency with a standard ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
- Strong understanding of software engineering fundamentals such as algorithms, version control, and error handling
- Ability to use business requirements to determine data relevance
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
- Experience building and maintaining production data pipelines
- 8+ years of experience designing and building data-intensive solutions using distributed computing
Responsibilities
- Design, build, maintain, 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 infrastructure decisions using your understanding of machine learning 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 evaluating 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.
Other
- hybrid work from home schedule with a minimum of three days per week in the office
- Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.
