Zions Bancorporation's Enterprise Technology and Operations (ETO) team is looking to deliver insight from data that is actionable and will drive revenue growth, cost reduction, and meet new regulatory requirements. The team works on strategic projects with tactical components that aim to drive all business decisions to be data driven.
Requirements
- Experience developing and deploying Generative AI applications.
- Strong experience with predictive modeling, machine learning, and deep learning algorithms
- Strong Python programming skills (scikit-learn, PyTorch, LangGraph)
- Experience in relational databases (PostgreSQL, Cloud SQL) and vector databases for AI applications
- Experience with major cloud platforms (GCP preferred, AWS, Azure) for training, deploying and managing ML solutions
- Hands on MLOps experience is highly desirable with an appreciation of end-to-end CI/CD process
Responsibilities
- Designing, training, and validating machine learning and deep learning models
- Performing advanced statistical and predictive analyses to generate actionable insights
- Implementing Generative AI and LLM-based solutions where applicable
- Designing, developing, and maintaining production-grade ML pipelines and AI applications using MLOps best practices (CI/CD, model monitoring, retraining)
- Leveraging cloud platforms (GCP Vertex AI preferred, AWS, Azure) for scalable model deployment and orchestration
- Ensuring model performance, reliability, and compliance in production environments
- Discovering, cleaning, and transforming large-scale structured and unstructured data
Other
- Strong analytical, organizational, and problem-solving skills
- Strong communication and leadership skills – able to present insights clearly to all levels, lead projects, and work in a consultative role.
- Collaborative and self-driven – skilled at training others, coordinating across teams, and delivering results independently under tight deadlines.
- 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.
