Lead ML Ops/DevOps Engineer - AI Engineering
Core
Lead MLOps/DevOps Engineer building scalable infrastructure and CI/CD pipelines for Generative AI models, fraud detection, and decision automation on the FICO platform.
Role type
Lead MLOps/DevOps Engineer
Builds
Production ML pipelines, containerized services (Kubernetes/ECS), and automated model retraining/monitoring workflows.
Domain
Financial analytics, Generative AI, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
AWS services (EC2, S3, IAM, EKS, ECS), Infrastructure as Code (Terraform, CloudFormation, Helm), Kubernetes, CI/CD for ML, Python scripting, Observability (Prometheus, Grafana, Datadog), Security best practices
Preferred skills
Data governance, lineage, and metadata management
Technologies
Terraform, GitHub Actions, ArgoCD, Helm, AWS, Kubernetes, EKS, ECS, Prometheus, Grafana, Datadog, OpenTelemetry
Responsibilities
Design and maintain scalable data and ML pipelines; Automate infrastructure provisioning; Manage Kubernetes clusters and ECS environments; Partner with SRE teams for high availability and security; Operationalize ML models with CI/CD pipelines; Implement observability for data pipelines and ML services; Develop automated pipelines for model retraining and drift monitoring.
Seniority
Senior, hands-on IC
