ML Platform Engineer: Production ML at Scale

Zionsbancorp; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental and Vision – Start Day

401(k) with Company Match

Parental Leave and Adoption Support

HSA/FSA and dependent care accounts

Paid Training and PTO + Holidays

Employee Wellness programs

Job summary

Zions Bancorporation’s Enterprise Technology and Operations team is transforming how a financial institution operates. The Software Engineer, ML Platform will join an Agile team delivering production‑grade ML applications and scalable systems.

You will build and maintain ML platform components, ensuring availability and performance of ML services. You’ll collaborate across data, decision logic, and services, implement CI/CD, and apply best practices in responsible AI while advancing the model

Qualifications

• 6+ years of professional software engineering experience building and operating production services.
• Proficiency in Python, including testing, packaging, and production‑quality code.
• Experience with Docker and container‑based deployment; working knowledge of Kubernetes.
• Experience building or maintaining CI/CD pipelines.
• Familiarity with cloud platforms (e.g. GCP), including IAM, networking, and storage basics.
• Experience instrumenting production services with metrics, structured logging, and alerting, using tools such as Splunk or Grafana.
• Understanding of distributed systems fundamentals such as retries, idempotency, and failure handling.

Responsibilities

• Build and maintain deployment pipelines, environments, and containerized services for the team’s production systems.
• Develop components of real-time decisioning services, including event processing, integrations, and decision logging.
• Implement observability: metrics, logging, tracing, alerting, and dashboards for production services.
• Design and maintain the model lifecycle: training pipelines, experiment tracking, model registry, versioning, and promotion from staging to production.
• Implement model monitoring: prediction drift, feature drift, data quality checks, performance against labeled outcomes.
• Collaborate as part of a cross‑functional Agile team to create clean interfaces between data, decision logic, and services.
• Leverage CI/CD best practices 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.

Skills

Python

CI/CD practices

Distributed systems

Observability

Agile methodology

Problem solving

Production services

Tools

Docker

Kubernetes

GCP

Job description

Zions Bancorporation’s Enterprise Technology and Operations team is transforming how a financial institution operates. The Software Engineer, ML Platform will join an Agile team delivering production‑grade ML applications and scalable systems.

You will build and maintain ML platform components, ensuring availability and performance of ML services. You’ll collaborate across data, decision logic, and services, implement CI/CD, and apply best practices in responsible AI while advancing the model