ML Platform Engineer: Production ML at Scale

Zions Bancorporation; Midvale (UT); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Parental Leave

Adoption Assistance

401(k) with company match

Tuition Reimbursement

Job summary

Zions Bancorporation is seeking a Software Engineer, ML Platform to join its Agile team. You will productionize ML applications, design scalable backend services, and build foundational components of the ML platform.

You’ll work across data engineering, modeling and operations, own deployment pipelines, observability, model lifecycle, and CI/CD, with a focus on responsible AI. Hybrid work at Midvale, UT campus.

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

Docker

Kubernetes

CI/CD pipelines

GCP

Observability

Distributed systems

Tools

MLflow

Databricks

Spark

Kafka

Airflow

Job description

Zions Bancorporation is seeking a Software Engineer, ML Platform to join its Agile team. You will productionize ML applications, design scalable backend services, and build foundational components of the ML platform.

You’ll work across data engineering, modeling and operations, own deployment pipelines, observability, model lifecycle, and CI/CD, with a focus on responsible AI. Hybrid work at Midvale, UT campus.