Global Payments is seeking an experienced DevOps Engineer to support their AI and ML initiatives, focusing on scalable infrastructure and deployment automation. The ideal candidate will have significant experience in DevOps, particularly in AI/ML environments, and will work collaboratively within a dynamic team to optimize payment technology solutions
Job Summary
Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment.
Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools.
Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production.
Matching Summary
Match Score: 85
Global Payments is seeking an experienced DevOps Engineer to support their AI and ML initiatives, focusing on scalable infrastructure and deployment automation. The ideal candidate will have significant experience in DevOps, particularly in AI/ML environments, and will work collaboratively within a dynamic team to optimize payment technology solutions.
Skills & Requirements
Must-have
CI/CD pipelines for AI/ML
Infrastructure-as-code (Terraform)
Containerized environments (Docker, Kubernetes)
Vector database deployments
Observability tools (Prometheus, Grafana)
Scripting languages (Python, Bash)
GPU infrastructure management
Nice-to-have
MLOps tooling exposure
Prompt engineering and model fine-tuning
Secure AI deployment and compliance
Key Requirements
6+ years DevOps/infrastructure engineering experience
2+ years in AI/ML environments
Hands-on cloud-native services experience
Strong CI/CD tools skills
Deep understanding of Kubernetes
Work Rights
Legally authorized to work full-time without sponsorship