Senior ML Ops Analytics Engineer

PNC Financial Services Group, Inc.; Cleveland (OH); Vor Ort; USD 86.000 - 173.000; Vollzeit

Benefits dieser Stelle

Medical and dental coverage

401(k) with company match

Paid time off and holidays

Zusammenfassung

PNC is seeking a Quantitative Analytics & Model Analyst Senior to design, engineer, deploy, and support scalable AI/ML solutions across the enterprise. You will work with data scientists, engineers, and business stakeholders to ensure reliable, secure, and efficient AI/ML production environments.

You will combine system engineering, cloud, DevOps, and MLOps expertise to transition analytics from development to production, with emphasis on scalability and governance.

Qualifikationen

• Design and engineer AI/ML solutions for complex data science use cases.
• Develop, validate, and test container images to deploy AI/ML models.
• Experience with cloud platforms (AWS or Azure) and DevOps practices.

Aufgaben

• Build scalable frameworks and reusable components for model deployment and monitoring.
• Collaborate with data scientists to operate ML solutions in production.
• Manage model releases, version control, and deployment processes.
• Partner with engineering to set infrastructure standards for model deployment.
• Support automation and infrastructure-as-code initiatives.

Kenntnisse

Python

R

PySpark

Analytical thinking

Communication

Ausbildung

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Statistics, or related field

Tools

OpenShift

Git

Jenkins

Docker

CI/CD

Jobbeschreibung

PNC is seeking a Quantitative Analytics & Model Analyst Senior to design, engineer, deploy, and support scalable AI/ML solutions across the enterprise. You will work with data scientists, engineers, and business stakeholders to ensure reliable, secure, and efficient AI/ML production environments.

You will combine system engineering, cloud, DevOps, and MLOps expertise to transition analytics from development to production, with emphasis on scalability and governance.