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.
The ideal candidate will have a strong background in Infrastructure as Code (IaC), pipeline automation, and platform engineering, with specific experience configuring and maintaining IBM watsonx and Google Cloud Vertex AI environments.
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
MLflow
GCP Vertex AI
IBM watsonx
Terraform
DevSecOps
CI/CD pipelines
Nice-to-have
enterprise AI/ML platforms
regulated environments
responsible AI practices
Key Requirements
5+ years of experience in MLOps, DevOps, Platform Engineering, or Infrastructure Engineering
2+ years of experience implementing DevSecOps practices
Hands-on experience configuring enterprise AI platforms
Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field