Machine Learning Engineer
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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.
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