| Location | Baltimore, MD |
Job Description:
Seeking a Senior AI/ML Platform Engineer to design and operate enterprise AI/ML infrastructure, automate MLOps workflows, and improve platform reliability.
Required Skills:
10+ years in platform/MLOps/software engineering, including 2+ years with production ML systems.
Python, ML CI/CD, deployment automation, and production software development.
AWS, Azure, or GCP.
Advanced Kubernetes: cluster management, autoscaling, resource quotas, and scheduling.
Prometheus, Grafana, Datadog, or OpenTelemetry.
Terraform, Ansible, and infrastructure automation.
ML lifecycle, experiment tracking, model registries, feature stores, model serving, and drift monitoring.
Automated model testing, A/B testing, canary deployments, and rollback.
SDKs, CLI tools, APIs, deployment templates, and standardized workflows.
Troubleshooting, incident response, root-cause analysis, and documentation.
Preferred: Internal Developer Platforms, vLLM, TGI, managed LLM APIs, FedRAMP, NIST AI RMF, GitOps, Infracost, AWS Cost Explorer, and FinOps.