An MLOps engineer who builds and scales production infrastructure for training and serving ML models: Docker/Kubernetes environments, ML CI/CD pipelines, Terraform-based cloud IaC (AWS/Azure/GCP), monitoring (Prometheus/Grafana) and model/dataset versioning (MLflow, DVC). Works closely with ML engineers and data scientists on AI features for global banking products.
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