Global Payments is seeking an MLOps Engineer to design and implement CI/CD pipelines for AI and ML model deployment and manage cloud infrastructure. The role requires significant experience in DevOps and MLOps, particularly within AI/ML environments, and offers an opportunity to work with cutting-edge technologies in a dynamic team
Job Summary
The role involves designing and implementing CI/CD pipelines for AI and ML model training and RAG system deployment.
Candidates will provision and manage AI infrastructure across cloud hyperscalers using infrastructure-as-code tools like Terraform.
The position requires collaboration with data scientists to ensure smooth transitions from experimentation to production environments.
Matching Summary
Match Score: 85
Global Payments is seeking an MLOps Engineer to design and implement CI/CD pipelines for AI and ML model deployment and manage cloud infrastructure. The role requires significant experience in DevOps and MLOps, particularly within AI/ML environments, and offers an opportunity to work with cutting-edge technologies in a dynamic team.
Skills & Requirements
Must-have
4+ years DevOps or MLOps experience
Cloud-native services AWS GCP Azure ML
CI/CD tools GitHub Actions ArgoCD Jenkins
Kubernetes container lifecycle management
Infrastructure-as-code Terraform
Python Bash Go scripting languages
Nice-to-have
Exposure to MLflow Kubeflow SageMaker Pipelines
Familiarity with prompt engineering and model fine-tuning
Experience with secure AI deployment frameworks
Knowledge of model versioning and drift detection
Strong initiative and independent work ability
Key Requirements
4+ years DevOps MLOps or infrastructure engineering experience
2+ years in AI/ML environments preferred
Hands-on experience with GPU infrastructure management