Senior AI/ML Deployment & Analytics Engineer

PNC Financial Services Group, Inc.; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 86,000 - 173,000; Full time

Job summary

PNC Financial Services Group, Inc. is seeking a Senior Quantitative Analytics & Model Analyst to join the Data Operations and MLOps team in Pittsburgh, Cleveland, or Tyson's Corner.

You will design, deploy, and support scalable AI/ML solutions and work with data scientists and engineers to move models into production. You will implement containerized models, manage model lifecycles, and ensure reliability, security, and governance in enterprise environments.

Qualifications

• Bachelor's degree in computer science, information systems, data science, engineering, mathematics, statistics, or a related quantitative field.
• Proficiency in Python, R, or PySpark for ML/analytics projects.
• Experience with ML model deployment, lifecycle management, and production monitoring.

Responsibilities

• Design, engineer, deploy, and support scalable AI/ML solutions across production environments.
• Collaborate with data scientists and engineers to move models into production.
• Manage model releases, versioning, testing, and deployment processes.
• Develop reusable components and frameworks for model development and deployment.
• Support infrastructure standards, automation, and IaC initiatives.

Skills

Python/PySpark

SQL

DevOps practices

Cross-functional collaboration

Analytical thinking

Education

Bachelor's degree in Computer Science/Data Science or related field

Tools

OpenShift Container Platform

Git

Jenkins

Docker

JIRA

Confluence

Job description

PNC Financial Services Group, Inc. is seeking a Senior Quantitative Analytics & Model Analyst to join the Data Operations and MLOps team in Pittsburgh, Cleveland, or Tyson's Corner.

You will design, deploy, and support scalable AI/ML solutions and work with data scientists and engineers to move models into production. You will implement containerized models, manage model lifecycles, and ensure reliability, security, and governance in enterprise environments.