Senior AI Engineer
Tasks
- Architect scalable MLOps pipelines
- Deploy models to cloud on prem and edge
- Develop and deploy production AI systems
- Ensure DoD RMF compliance
- Ensure adversarial robustness and secure model deployment
- Implement secure AI deployment best practices
- Integrate AI into cybersecurity workflows
- Lead end to end AI system design
- Mentor engineers and provide technical oversight
- Prototype AI solutions and transition to production
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Adversarial Machine Learning | Ansible | Cybersecurity | Cybersecurity tool integration | DevSecOps | Docker | Edge Computing | Information security | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Microsoft Azure | Model Monitoring | Model Serving | Python | Terraform | Tool integration | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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