We are seeking a Senior MLOps / AIOps Platform Engineer with deep DevSecOps expertise and hands-on experience managing enterprise-grade AI/ML platforms
Job Summary
We are seeking a Senior MLOps / AIOps Platform Engineer with deep DevSecOps expertise and hands-on experience managing enterprise-grade AI/ML platforms.
This critical role focuses on building, configuring, and operationalizing secure, scalable, and reusable infrastructure and pipelines that support AI and ML initiatives across the enterprise.
We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion.
Matching Summary
We are seeking a Senior MLOps / AIOps Platform Engineer with deep DevSecOps expertise and hands-on experience managing enterprise-grade AI/ML platforms.
Skills & Requirements
Must-have
IBM watsonx and Google Vertex AI
Infrastructure as Code (IaC)
CI/CD pipelines for AI/ML
DevSecOps practices
Python and Bash scripting
Docker and Kubernetes
Nice-to-have
responsible AI practices
enterprise feature stores
model monitoring frameworks
fairness toolkits
Key Requirements
5+ years in MLOps, DevOps, Platform Engineering, or Infrastructure Engineering